SlideShare a Scribd company logo
1 of 18
Choosing a Career path in 21st Century without understanding the Industry
would be as good as ship sailing in a sea without a compass


Biotechnology is the research and development of innovative
healthcare, agricultural, industrial and environmental products




                                                   by
                                                   BioInformaticsOnRun

                            https://www.facebook.com/pages/Bioinformatics-On-Run
YOUR APPROACH YOUR DECISION YOUR
PASSION
   Drug Discovery R&D Organizations
   SYSTEM Biology Companies
   Informatics Knowledgebase Development firms
   Clinical Research Organizations
   Seed technology and genetically modified food
   Biofuels
   Monoclonal Antibodies
   Environmental and industrial biotechnology
   Instrumentation and Equipment
   Out Look
   How to Approach


    Heal the                                           Feed the
     World                            Fuel the world    World
Biology Informatics and Research and development Challenges


                                              PhD Students ,Postdoctoral
  That’s an Impressive                                Researchers
introduction and I know                     ,Professors/Lecturers, Masters
                                           Students , Librarians, Commercial
 the PROBLEMS AND                                 R&D Professionals
  CHALLENGES you                              ,Undergraduates, Academic
                                            Researchers Government /NGO
 CURRENTLY FACING                                     researchers




   Systems
   Biology




The Slides will help you to understand the mechanism , workflows , and
Process of different segments in life science Industry
Drug Discovery Science
                  This all Started when you try to
                      understand the disease
                                                          Target Identification
                                                        (Choose a molecule to
                                                           target with a drug)
                   When you try to understand
                                                            Target validation
                    how the gene are altered
                                                          (Test the Target and
                                                           Confirm its role in
                                                               Diseases)
                How that affects the proteins                Drug Discovery
                they encode                          (Find a promising Molecule
                                                      (“ a Lead compound”) that
                                                         could become a drug)
                And how these proteins Interact             Early Safety Test
                with each other in living cells         Perform Initial Tests on
                                                        Promising Compounds
                                                           Lead optimization
                How those affected cell change       (Alter the Structure of Lead
                the specific tissue they are in         Candidates to improve
                                                               Properties)

                And finally how the diseases
                affects the entire patient
Today Scientists are facing More Challenges


                                                Biological
                                              network maps
     Complexity of
      biological
       system
                                                              Produce better
                                                             small molecules
                                                               at early drug
                                                                discovery
                                                                  stages


    Visualization


                                                            Storage ,
                                                          retrieval and
                             Time and Cost               analysis of data
Systems Biology as Savior


                                                           Omics



          Molecular Pathway             Regulatory Networks



         Whole                                     Cells
         Organism             Systems
                              Biology




         Organs                              Tissues



                                                           Modeling
Gene translation
                    Protein Expression
                    Signaling Event
Genomics
                    Metabolite Fluxes                         Cell
                    Identify nodes of signaling networks
                    Identification of Interaction Partners
                    and Protein Modifications
                    Knockout Knock In Genes




              Proteomics




                                                                     MODELING
 OMICS




                                               Tissue

              Epigenomics



                      Review of Quantitative models of the
                      System from gene to Physiology
                      Review of approaches for modeling
Metabolites           diseases                                 Organ
                      Computationally –based                 Complexity
                      mathematical model of disease
                      predicts patient responses to
                      different therapies
Methods to Study Proteins


        Determining                            Establishing
     proteins which are                       Protein- Protein
     post translationaly                        interactions
          modified


                                                 Computational
      Determining the
                                                   methods in
       existence of
                                                studying protein
        proteins in
                                                  biomarkers
     complex mixtures




   Detecting       Protein        Protein       Protein-DNA        Protein
   Proteins       Purification   Structures     Interactions       Curation
Informatics Science

Literature Informatics
Imaging Informatics
Clinical Informatics
Public health Informatics

Literature Informatics
Publications of databases of biological information
Microarray datasheets
High Throughput Screening datasets
Other Experimental Data
                                                      Well Developed
                                                      Chemistry Skills
                                                         capable of
                                                       offering end to
             Establishing Skills                        end complex
             in basic molecular                          capabilities
                 biology and
                   protein
                 Expression
CLINICALLY APPROVED DRUGS
                            Phase 0
                                          Phase1
           Pre- Clinical
             Phase


                                      Phase 2



                                          Phase 3


                                           Post
                                         marketing
                                        surveillance
                                            Trial



                                      Translational
                                        research
GM CROPS /FOOD/SEEDS

Why are GM food/Crops produced and
  Developed????
 Improve crop Protection
 Insect resistance
 Virus resistance
 Herbicide tolerance


   The safety assessment of GM foods
   Allergenicity
   Gene Transfer
   Outcrossing

Examples:
 Drought tolerant Maize
 Protecting Plants against Freezing
 Apple genome sequencing
 Longer shelf life for tomatoes



Biofuels: Ethanol from Biomass
DIFFERENT ROLES TO PLAY IN BIOTECHNOLOGY INDUSTRY

              Monoclonal
           Antibodies Market

            Large protein molecules
            produced by white blood
             cells that seek out and
            destroy harmful foreign
                    substances


           Application in many areas
            of medicine and biologic
                    science

                 Are used in the
           identification of organisms
               in the bacteriology
                    laboratory

           Also used in the diagnosis
                  of leukemia


            Used in the treatment of
                malignancies
ENVIRONMENTAL/INDUSTRIAL BIOTECHNOLOGY MARKET



                                           Cells can be          Production of
                      Living cells and
        Use of                              modified to       chemicals, pestici
                      Enzymes can be
   microorganisms                            produce          des, biofuels and
                      used to produce
     or biological                       enzymes, which         biodegradable
                          vitamins,
    substances to                            function           plastics made
                         antibiotics,
   perform specific                       biologically as      from renewable
                       vaccines and
     industrial or                       catalysts to bring   raw materials like
                        proteins for
    manufacturing                         about specific      starch, vegetable
                         medicinal
       process                             biochemical        oils, cellulose and
                          purposes
                                             reaction         agricultural waste.
INSTRUMENTATION & EQUIPMENT MARKET


Instrumentation would refer to large-scale equipment such as
MRI machines, ultrasound machines, immunoanalyzers and
hemoanalyzers.



Devices used for surgery, such as laparascopes, endoscopes
and arthoscopes. Durable equipment or DME such as medical
beds or chairs, wheelchairs and canes would be part of this
category.


DNA sequencers and high throughput screeners. Mass
spectrometers are currently used for a variety of clinical
applications. Mass spectrometry (MS) is an assessment
technology that identifies the mass-to-charge ratio of charged
particles
OUTLOOK

     Mapping of the human genome
     Wave of new biologic drug product approvals by the FDA.


                      Therapeutic areas offer the best investment
                                    opportunities
         Regenerative medicine

                 Opthalmology

                     Oncology

             Infectious disease

                     Metabolic

             Genetic disorders

                                  0%         20%              40%              60%              80%




                                       Source::http://thomsonreuters.com/content/science/pdf/white_papers/BIO_ThomsonReuters09_study.pdf
Q. I Know Industry How to approach ?



Proper Education : To
                               Masters of Science
excel in biotechnology
                                   ,Masters in
 Industry you need to                                  Have focused approach
                               technology, PhD is
have good educational
                                    Preferred
     background




                             Additional short course
 Know your Interest                                    Remember Experience
                              Projects and Industry
  /Develop Interest                                       is advantage
                               Project is Preferred




Keep track of Industry
, follow trends ,Select
          Path
CONCLUSION
   Biotechnology Industry has changed a lot during last decade , which means
    moving ahead from traditional ways to more advanced technological
    developments
   2012 Biotechnology Industry is not the same as it was in 2001
   Computational, Mathematics and physics knowledge additions to Biology has
    opened many new windows for Investors and for Small and Mid-Sized
    Entrepreneurs which again playing very important role .
   Many Students with Diversified Non- life science background are working for
    this Industry
   Companies are investing more and more in Lethal Diseases which is a good
    sign for the Industry and the society as whole
   FDI and Government policies too play a very important role and need to be
    regularly monitored by anyone who want to have a career in Life science
    Industry
Thank YOU
BioInformaticsOnRun



 Put your Questions to us on our Face book page

    https://www.facebook.com/pages/Bioinformatics-On-Run

More Related Content

What's hot

Anovasia technology presentation nov2012 non-conf
Anovasia technology presentation nov2012 non-confAnovasia technology presentation nov2012 non-conf
Anovasia technology presentation nov2012 non-confJohn Dangerfield
 
Stephen Friend Cytoscape Retreat 2011-05-20
Stephen Friend Cytoscape Retreat 2011-05-20Stephen Friend Cytoscape Retreat 2011-05-20
Stephen Friend Cytoscape Retreat 2011-05-20Sage Base
 
Stephen Friend Food & Drug Administration 2011-07-18
Stephen Friend Food & Drug Administration 2011-07-18Stephen Friend Food & Drug Administration 2011-07-18
Stephen Friend Food & Drug Administration 2011-07-18Sage Base
 
Stephen Friend HHMI-Penn 2011-05-27
Stephen Friend HHMI-Penn 2011-05-27Stephen Friend HHMI-Penn 2011-05-27
Stephen Friend HHMI-Penn 2011-05-27Sage Base
 
Introduction to and Applications of Unison, an Open Source Database for Targe...
Introduction to and Applications of Unison, an Open Source Database for Targe...Introduction to and Applications of Unison, an Open Source Database for Targe...
Introduction to and Applications of Unison, an Open Source Database for Targe...Reece Hart
 
German Russian Workshop 2011 - geneXplain
German Russian Workshop  2011 - geneXplainGerman Russian Workshop  2011 - geneXplain
German Russian Workshop 2011 - geneXplaingeneXplain GmbH
 
Bioinformatica t9-t10-biocheminformatics
Bioinformatica t9-t10-biocheminformaticsBioinformatica t9-t10-biocheminformatics
Bioinformatica t9-t10-biocheminformaticsProf. Wim Van Criekinge
 
Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...
Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...
Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...RussellHanson
 
Brief intro to my research
Brief intro to my researchBrief intro to my research
Brief intro to my researchmolmodbasics
 
Stephen Friend Haas School of Business 2012-03-05
Stephen Friend Haas School of Business 2012-03-05Stephen Friend Haas School of Business 2012-03-05
Stephen Friend Haas School of Business 2012-03-05Sage Base
 
Understanding and classifying metabolite space and metabolite likeness
Understanding and classifying metabolite space and metabolite likenessUnderstanding and classifying metabolite space and metabolite likeness
Understanding and classifying metabolite space and metabolite likenessVodafoneZiggo
 
Friend UCSF 2012-07-27
Friend UCSF 2012-07-27Friend UCSF 2012-07-27
Friend UCSF 2012-07-27Sage Base
 
Stephen Friend Fanconi Anemia Research Fund 2012-01-21
Stephen Friend Fanconi Anemia Research Fund 2012-01-21Stephen Friend Fanconi Anemia Research Fund 2012-01-21
Stephen Friend Fanconi Anemia Research Fund 2012-01-21Sage Base
 
Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...
Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...
Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...Saira Fatima
 
Target selection lead discovery medicinal drug discovery process style design...
Target selection lead discovery medicinal drug discovery process style design...Target selection lead discovery medicinal drug discovery process style design...
Target selection lead discovery medicinal drug discovery process style design...SlideTeam.net
 

What's hot (19)

Anovasia technology presentation nov2012 non-conf
Anovasia technology presentation nov2012 non-confAnovasia technology presentation nov2012 non-conf
Anovasia technology presentation nov2012 non-conf
 
Stephen Friend Cytoscape Retreat 2011-05-20
Stephen Friend Cytoscape Retreat 2011-05-20Stephen Friend Cytoscape Retreat 2011-05-20
Stephen Friend Cytoscape Retreat 2011-05-20
 
eScience-School-Oct2012-Campinas-Brazil
eScience-School-Oct2012-Campinas-BrazileScience-School-Oct2012-Campinas-Brazil
eScience-School-Oct2012-Campinas-Brazil
 
Infographic CV MB
Infographic CV MBInfographic CV MB
Infographic CV MB
 
Stephen Friend Food & Drug Administration 2011-07-18
Stephen Friend Food & Drug Administration 2011-07-18Stephen Friend Food & Drug Administration 2011-07-18
Stephen Friend Food & Drug Administration 2011-07-18
 
Stephen Friend HHMI-Penn 2011-05-27
Stephen Friend HHMI-Penn 2011-05-27Stephen Friend HHMI-Penn 2011-05-27
Stephen Friend HHMI-Penn 2011-05-27
 
Introduction to and Applications of Unison, an Open Source Database for Targe...
Introduction to and Applications of Unison, an Open Source Database for Targe...Introduction to and Applications of Unison, an Open Source Database for Targe...
Introduction to and Applications of Unison, an Open Source Database for Targe...
 
German Russian Workshop 2011 - geneXplain
German Russian Workshop  2011 - geneXplainGerman Russian Workshop  2011 - geneXplain
German Russian Workshop 2011 - geneXplain
 
Bioinformatica t9-t10-biocheminformatics
Bioinformatica t9-t10-biocheminformaticsBioinformatica t9-t10-biocheminformatics
Bioinformatica t9-t10-biocheminformatics
 
Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...
Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...
Synthetic Biology and Data-Driven Synthetic Biology for Personalized Medicine...
 
Brief intro to my research
Brief intro to my researchBrief intro to my research
Brief intro to my research
 
Federici2012a
Federici2012aFederici2012a
Federici2012a
 
Stephen Friend Haas School of Business 2012-03-05
Stephen Friend Haas School of Business 2012-03-05Stephen Friend Haas School of Business 2012-03-05
Stephen Friend Haas School of Business 2012-03-05
 
Understanding and classifying metabolite space and metabolite likeness
Understanding and classifying metabolite space and metabolite likenessUnderstanding and classifying metabolite space and metabolite likeness
Understanding and classifying metabolite space and metabolite likeness
 
Friend UCSF 2012-07-27
Friend UCSF 2012-07-27Friend UCSF 2012-07-27
Friend UCSF 2012-07-27
 
Stephen Friend Fanconi Anemia Research Fund 2012-01-21
Stephen Friend Fanconi Anemia Research Fund 2012-01-21Stephen Friend Fanconi Anemia Research Fund 2012-01-21
Stephen Friend Fanconi Anemia Research Fund 2012-01-21
 
Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...
Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...
Cellular Targets and Mechanisms in the Cytotoxic Action of Nonbiodegradable E...
 
ResearchTalks Vol. 2 - Lab on a chip ... or chip in the lab ?
ResearchTalks Vol. 2 - Lab on a chip ... or chip in the lab ?ResearchTalks Vol. 2 - Lab on a chip ... or chip in the lab ?
ResearchTalks Vol. 2 - Lab on a chip ... or chip in the lab ?
 
Target selection lead discovery medicinal drug discovery process style design...
Target selection lead discovery medicinal drug discovery process style design...Target selection lead discovery medicinal drug discovery process style design...
Target selection lead discovery medicinal drug discovery process style design...
 

Viewers also liked

Biotechnology as a career
Biotechnology as a careerBiotechnology as a career
Biotechnology as a careerIshita Sidhu
 
Make career in biotechnology
Make career in biotechnologyMake career in biotechnology
Make career in biotechnologyCytoGene
 
What is a startup
What is a startupWhat is a startup
What is a startupVijay Anand
 
Career Options for Biology Majors
Career Options for Biology MajorsCareer Options for Biology Majors
Career Options for Biology MajorsAndrew Whiteman
 
Biotech & medicine.ppt
Biotech & medicine.pptBiotech & medicine.ppt
Biotech & medicine.pptMahin Nwx
 
Applications of medical biotechnology
Applications of medical biotechnologyApplications of medical biotechnology
Applications of medical biotechnologyAiswarya Babu N
 

Viewers also liked (6)

Biotechnology as a career
Biotechnology as a careerBiotechnology as a career
Biotechnology as a career
 
Make career in biotechnology
Make career in biotechnologyMake career in biotechnology
Make career in biotechnology
 
What is a startup
What is a startupWhat is a startup
What is a startup
 
Career Options for Biology Majors
Career Options for Biology MajorsCareer Options for Biology Majors
Career Options for Biology Majors
 
Biotech & medicine.ppt
Biotech & medicine.pptBiotech & medicine.ppt
Biotech & medicine.ppt
 
Applications of medical biotechnology
Applications of medical biotechnologyApplications of medical biotechnology
Applications of medical biotechnology
 

Similar to Biotechnology as Career Option 2012

Friend EORTC 2012-11-08
Friend EORTC 2012-11-08Friend EORTC 2012-11-08
Friend EORTC 2012-11-08Sage Base
 
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24Sage Base
 
Towards Systems Pharmacology
Towards Systems PharmacologyTowards Systems Pharmacology
Towards Systems PharmacologyPhilip Bourne
 
Proteome analysis
Proteome analysisProteome analysis
Proteome analysisAkash Verma
 
Bioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST ToolBioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST ToolJesminBinti
 
Friend harvard 2013-01-30
Friend harvard 2013-01-30Friend harvard 2013-01-30
Friend harvard 2013-01-30Sage Base
 
Novel network pharmacology methods for drug mechanism of action identificatio...
Novel network pharmacology methods for drug mechanism of action identificatio...Novel network pharmacology methods for drug mechanism of action identificatio...
Novel network pharmacology methods for drug mechanism of action identificatio...laserxiong
 
bioinformatics simple
bioinformatics simple bioinformatics simple
bioinformatics simple nadeem akhter
 
Friend NAS 2013-01-10
Friend NAS 2013-01-10Friend NAS 2013-01-10
Friend NAS 2013-01-10Sage Base
 
Bioinformatics, application by kk sahu sir
Bioinformatics, application by kk sahu sirBioinformatics, application by kk sahu sir
Bioinformatics, application by kk sahu sirKAUSHAL SAHU
 
BIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And ChallengesBIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And ChallengesAmos Watentena
 
Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12
Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12
Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12Sage Base
 
Stephen Friend MIT 2011-10-20
Stephen Friend MIT 2011-10-20Stephen Friend MIT 2011-10-20
Stephen Friend MIT 2011-10-20Sage Base
 
Friend NIEHS 2013-03-01
Friend NIEHS 2013-03-01Friend NIEHS 2013-03-01
Friend NIEHS 2013-03-01Sage Base
 
2Biological PsychologyStudent’s nameInstru.docx
2Biological PsychologyStudent’s nameInstru.docx2Biological PsychologyStudent’s nameInstru.docx
2Biological PsychologyStudent’s nameInstru.docxstandfordabbot
 

Similar to Biotechnology as Career Option 2012 (20)

Friend EORTC 2012-11-08
Friend EORTC 2012-11-08Friend EORTC 2012-11-08
Friend EORTC 2012-11-08
 
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24
Stephen Friend Genetic Alliance 25th Anniversary 2011-06-24
 
Towards Systems Pharmacology
Towards Systems PharmacologyTowards Systems Pharmacology
Towards Systems Pharmacology
 
Proteome analysis
Proteome analysisProteome analysis
Proteome analysis
 
Genomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug DiscoveryGenomics & Proteomics Based Drug Discovery
Genomics & Proteomics Based Drug Discovery
 
Bioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST ToolBioinformatics Introduction and Use of BLAST Tool
Bioinformatics Introduction and Use of BLAST Tool
 
Friend harvard 2013-01-30
Friend harvard 2013-01-30Friend harvard 2013-01-30
Friend harvard 2013-01-30
 
Novel network pharmacology methods for drug mechanism of action identificatio...
Novel network pharmacology methods for drug mechanism of action identificatio...Novel network pharmacology methods for drug mechanism of action identificatio...
Novel network pharmacology methods for drug mechanism of action identificatio...
 
bioinformatics simple
bioinformatics simple bioinformatics simple
bioinformatics simple
 
Geomics proteomics
Geomics proteomicsGeomics proteomics
Geomics proteomics
 
Friend NAS 2013-01-10
Friend NAS 2013-01-10Friend NAS 2013-01-10
Friend NAS 2013-01-10
 
Bioinformatics, application by kk sahu sir
Bioinformatics, application by kk sahu sirBioinformatics, application by kk sahu sir
Bioinformatics, application by kk sahu sir
 
Proteomics
Proteomics   Proteomics
Proteomics
 
BIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And ChallengesBIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And Challenges
 
Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12
Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12
Stephen Friend Koo Foundation / Sun Yat-Sen Cancer Center 2012-03-12
 
Stephen Friend MIT 2011-10-20
Stephen Friend MIT 2011-10-20Stephen Friend MIT 2011-10-20
Stephen Friend MIT 2011-10-20
 
Friend NIEHS 2013-03-01
Friend NIEHS 2013-03-01Friend NIEHS 2013-03-01
Friend NIEHS 2013-03-01
 
origin, history.pptx
origin, history.pptxorigin, history.pptx
origin, history.pptx
 
2Biological PsychologyStudent’s nameInstru.docx
2Biological PsychologyStudent’s nameInstru.docx2Biological PsychologyStudent’s nameInstru.docx
2Biological PsychologyStudent’s nameInstru.docx
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 

Recently uploaded

Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...ruksarkahn825
 
Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...gajnagarg
 
Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...
Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...
Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...ZurliaSoop
 
Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...
Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...
Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...Angela Justice, PhD
 
Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...gajnagarg
 
UIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 UpdateUIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 UpdateUniversity of Iowa
 
Kannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best Service
Kannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best ServiceKannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best Service
Kannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best Servicemeghakumariji156
 
一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证
一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证
一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证eqaqen
 
怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制
怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制
怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制yynod
 
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...nirzagarg
 
Personal Brand Exploration ppt.- Ronnie Jones
Personal Brand  Exploration ppt.- Ronnie JonesPersonal Brand  Exploration ppt.- Ronnie Jones
Personal Brand Exploration ppt.- Ronnie Jonesjonesyde302
 
Gabriel_Carter_EXPOLRATIONpp.pptx........
Gabriel_Carter_EXPOLRATIONpp.pptx........Gabriel_Carter_EXPOLRATIONpp.pptx........
Gabriel_Carter_EXPOLRATIONpp.pptx........deejay178
 
Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...
Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...
Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...Juli Boned
 
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...gajnagarg
 
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...gajnagarg
 
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...gajnagarg
 
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...gajnagarg
 
Vip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime Malegaon
Vip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime MalegaonVip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime Malegaon
Vip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime Malegaonmeghakumariji156
 
Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...
Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...
Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...vershagrag
 
Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...nirzagarg
 

Recently uploaded (20)

Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
 
Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Agartala [ 7014168258 ] Call Me For Genuine Models ...
 
Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...
Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...
Jual obat aborsi Jakarta ( 085657271886 )Cytote pil telat bulan penggugur kan...
 
Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...
Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...
Simple, 3-Step Strategy to Improve Your Executive Presence (Even if You Don't...
 
Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Varanasi [ 7014168258 ] Call Me For Genuine Models ...
 
UIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 UpdateUIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 Update
 
Kannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best Service
Kannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best ServiceKannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best Service
Kannada Call Girls Mira Bhayandar WhatsApp +91-9930687706, Best Service
 
一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证
一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证
一比一定(购)中央昆士兰大学毕业证(CQU毕业证)成绩单学位证
 
怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制
怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制
怎样办理伊利诺伊大学厄巴纳-香槟分校毕业证(UIUC毕业证书)成绩单学校原版复制
 
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
 
Personal Brand Exploration ppt.- Ronnie Jones
Personal Brand  Exploration ppt.- Ronnie JonesPersonal Brand  Exploration ppt.- Ronnie Jones
Personal Brand Exploration ppt.- Ronnie Jones
 
Gabriel_Carter_EXPOLRATIONpp.pptx........
Gabriel_Carter_EXPOLRATIONpp.pptx........Gabriel_Carter_EXPOLRATIONpp.pptx........
Gabriel_Carter_EXPOLRATIONpp.pptx........
 
Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...
Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...
Novo Nordisk Kalundborg. We are expanding our manufacturing hub in Kalundborg...
 
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
 
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
 
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
 
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
 
Vip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime Malegaon
Vip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime MalegaonVip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime Malegaon
Vip Malegaon Escorts Service Girl ^ 9332606886, WhatsApp Anytime Malegaon
 
Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...
Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...
Low Cost Coimbatore Call Girls Service 👉📞 6378878445 👉📞 Just📲 Call Ruhi Call ...
 
Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...
Top profile Call Girls In Rampur [ 7014168258 ] Call Me For Genuine Models We...
 

Biotechnology as Career Option 2012

  • 1. Choosing a Career path in 21st Century without understanding the Industry would be as good as ship sailing in a sea without a compass Biotechnology is the research and development of innovative healthcare, agricultural, industrial and environmental products by BioInformaticsOnRun https://www.facebook.com/pages/Bioinformatics-On-Run
  • 2. YOUR APPROACH YOUR DECISION YOUR PASSION  Drug Discovery R&D Organizations  SYSTEM Biology Companies  Informatics Knowledgebase Development firms  Clinical Research Organizations  Seed technology and genetically modified food  Biofuels  Monoclonal Antibodies  Environmental and industrial biotechnology  Instrumentation and Equipment  Out Look  How to Approach Heal the Feed the World Fuel the world World
  • 3. Biology Informatics and Research and development Challenges PhD Students ,Postdoctoral That’s an Impressive Researchers introduction and I know ,Professors/Lecturers, Masters Students , Librarians, Commercial the PROBLEMS AND R&D Professionals CHALLENGES you ,Undergraduates, Academic Researchers Government /NGO CURRENTLY FACING researchers Systems Biology The Slides will help you to understand the mechanism , workflows , and Process of different segments in life science Industry
  • 4. Drug Discovery Science This all Started when you try to understand the disease Target Identification (Choose a molecule to target with a drug) When you try to understand Target validation how the gene are altered (Test the Target and Confirm its role in Diseases) How that affects the proteins Drug Discovery they encode (Find a promising Molecule (“ a Lead compound”) that could become a drug) And how these proteins Interact Early Safety Test with each other in living cells Perform Initial Tests on Promising Compounds Lead optimization How those affected cell change (Alter the Structure of Lead the specific tissue they are in Candidates to improve Properties) And finally how the diseases affects the entire patient
  • 5. Today Scientists are facing More Challenges Biological network maps Complexity of biological system Produce better small molecules at early drug discovery stages Visualization Storage , retrieval and Time and Cost analysis of data
  • 6. Systems Biology as Savior Omics Molecular Pathway Regulatory Networks Whole Cells Organism Systems Biology Organs Tissues Modeling
  • 7. Gene translation Protein Expression Signaling Event Genomics Metabolite Fluxes Cell Identify nodes of signaling networks Identification of Interaction Partners and Protein Modifications Knockout Knock In Genes Proteomics MODELING OMICS Tissue Epigenomics Review of Quantitative models of the System from gene to Physiology Review of approaches for modeling Metabolites diseases Organ Computationally –based Complexity mathematical model of disease predicts patient responses to different therapies
  • 8. Methods to Study Proteins Determining Establishing proteins which are Protein- Protein post translationaly interactions modified Computational Determining the methods in existence of studying protein proteins in biomarkers complex mixtures Detecting Protein Protein Protein-DNA Protein Proteins Purification Structures Interactions Curation
  • 9. Informatics Science Literature Informatics Imaging Informatics Clinical Informatics Public health Informatics Literature Informatics Publications of databases of biological information Microarray datasheets High Throughput Screening datasets Other Experimental Data Well Developed Chemistry Skills capable of offering end to Establishing Skills end complex in basic molecular capabilities biology and protein Expression
  • 10. CLINICALLY APPROVED DRUGS Phase 0 Phase1 Pre- Clinical Phase Phase 2 Phase 3 Post marketing surveillance Trial Translational research
  • 11. GM CROPS /FOOD/SEEDS Why are GM food/Crops produced and Developed????  Improve crop Protection  Insect resistance  Virus resistance  Herbicide tolerance  The safety assessment of GM foods  Allergenicity  Gene Transfer  Outcrossing Examples:  Drought tolerant Maize  Protecting Plants against Freezing  Apple genome sequencing  Longer shelf life for tomatoes Biofuels: Ethanol from Biomass
  • 12. DIFFERENT ROLES TO PLAY IN BIOTECHNOLOGY INDUSTRY Monoclonal Antibodies Market Large protein molecules produced by white blood cells that seek out and destroy harmful foreign substances Application in many areas of medicine and biologic science Are used in the identification of organisms in the bacteriology laboratory Also used in the diagnosis of leukemia Used in the treatment of malignancies
  • 13. ENVIRONMENTAL/INDUSTRIAL BIOTECHNOLOGY MARKET Cells can be Production of Living cells and Use of modified to chemicals, pestici Enzymes can be microorganisms produce des, biofuels and used to produce or biological enzymes, which biodegradable vitamins, substances to function plastics made antibiotics, perform specific biologically as from renewable vaccines and industrial or catalysts to bring raw materials like proteins for manufacturing about specific starch, vegetable medicinal process biochemical oils, cellulose and purposes reaction agricultural waste.
  • 14. INSTRUMENTATION & EQUIPMENT MARKET Instrumentation would refer to large-scale equipment such as MRI machines, ultrasound machines, immunoanalyzers and hemoanalyzers. Devices used for surgery, such as laparascopes, endoscopes and arthoscopes. Durable equipment or DME such as medical beds or chairs, wheelchairs and canes would be part of this category. DNA sequencers and high throughput screeners. Mass spectrometers are currently used for a variety of clinical applications. Mass spectrometry (MS) is an assessment technology that identifies the mass-to-charge ratio of charged particles
  • 15. OUTLOOK  Mapping of the human genome  Wave of new biologic drug product approvals by the FDA. Therapeutic areas offer the best investment opportunities Regenerative medicine Opthalmology Oncology Infectious disease Metabolic Genetic disorders 0% 20% 40% 60% 80% Source::http://thomsonreuters.com/content/science/pdf/white_papers/BIO_ThomsonReuters09_study.pdf
  • 16. Q. I Know Industry How to approach ? Proper Education : To Masters of Science excel in biotechnology ,Masters in Industry you need to Have focused approach technology, PhD is have good educational Preferred background Additional short course Know your Interest Remember Experience Projects and Industry /Develop Interest is advantage Project is Preferred Keep track of Industry , follow trends ,Select Path
  • 17. CONCLUSION  Biotechnology Industry has changed a lot during last decade , which means moving ahead from traditional ways to more advanced technological developments  2012 Biotechnology Industry is not the same as it was in 2001  Computational, Mathematics and physics knowledge additions to Biology has opened many new windows for Investors and for Small and Mid-Sized Entrepreneurs which again playing very important role .  Many Students with Diversified Non- life science background are working for this Industry  Companies are investing more and more in Lethal Diseases which is a good sign for the Industry and the society as whole  FDI and Government policies too play a very important role and need to be regularly monitored by anyone who want to have a career in Life science Industry
  • 18. Thank YOU BioInformaticsOnRun Put your Questions to us on our Face book page https://www.facebook.com/pages/Bioinformatics-On-Run