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Verify 3D
Content
● Introduction
● Objectives
● Input & Output
● Methodology
● Results Analysis
● Conclusion
Verify3D determines the
compatibility of an atomic
model (3D) with its own amino
acid sequence (1D) by
assigning a structural class
based on its location and
environment (alpha, beta,
loop, polar, nonpolar) and
comparing the results to good
structures.
Introduction
“VERIFY3D (Assessment of Protein Models
With Three-Dimensional Profiles) tool is
utilized to evaluate the correctness of a
protein model by its 3D profile.”
Objectives
Available on
Verify3D is a web
based tool that can
accessed through any
web browser.
Research
Outcome
The correctness of a
protein model can be
verified by its 3D
profile.
Analyzes
Verify3D is utilized
for protein model
evaluation by its 3D
Profile.
Input
The server requires
to upload the file
containing the
target protein
structure in PDB
format.
The server results in
plots depending
upon the chains
present in the
query protein.
Output
Input & Output
Plotting
Generates number
of plots depends
upon the number of
chains
Verify3D Test
Good predicted structure
of a protein must have
80% or more average
score.
Evaluation
Utilized for protein
model evaluation by its
3D Profile.
Plots
Greater the number of
chains present in the
protein model, greater
will be the number of
plots
Correctness
Correctness of a
protein model can be
verified by its 3D
profile
Methodology
3D Profiles
3D profile of a protein
structure can be used to
score the compatibility of
the 3D structure
This is how Verify3D evaluates the
protein models, generating plot
which represents averaged score
and raw score for each residue in
the predicted or experimentally
determined model.
Dots Interpretation
1st Green Raw Score (Score for each amino
acid residue)
2nd Blue Average Score (Score for overall
residues)
Results Analysis
Table represents the interpretation of plots:
Verify3D utilizes the three-
dimensional profiles
computed from correct
protein structures match
their own sequences with
high scores for protein
model evaluation.
Conclusion
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Verify 3D | BioCode Ltd

  • 2. Content ● Introduction ● Objectives ● Input & Output ● Methodology ● Results Analysis ● Conclusion
  • 3. Verify3D determines the compatibility of an atomic model (3D) with its own amino acid sequence (1D) by assigning a structural class based on its location and environment (alpha, beta, loop, polar, nonpolar) and comparing the results to good structures. Introduction
  • 4. “VERIFY3D (Assessment of Protein Models With Three-Dimensional Profiles) tool is utilized to evaluate the correctness of a protein model by its 3D profile.”
  • 5. Objectives Available on Verify3D is a web based tool that can accessed through any web browser. Research Outcome The correctness of a protein model can be verified by its 3D profile. Analyzes Verify3D is utilized for protein model evaluation by its 3D Profile.
  • 6. Input The server requires to upload the file containing the target protein structure in PDB format. The server results in plots depending upon the chains present in the query protein. Output Input & Output
  • 7. Plotting Generates number of plots depends upon the number of chains Verify3D Test Good predicted structure of a protein must have 80% or more average score. Evaluation Utilized for protein model evaluation by its 3D Profile. Plots Greater the number of chains present in the protein model, greater will be the number of plots Correctness Correctness of a protein model can be verified by its 3D profile Methodology 3D Profiles 3D profile of a protein structure can be used to score the compatibility of the 3D structure
  • 8. This is how Verify3D evaluates the protein models, generating plot which represents averaged score and raw score for each residue in the predicted or experimentally determined model.
  • 9. Dots Interpretation 1st Green Raw Score (Score for each amino acid residue) 2nd Blue Average Score (Score for overall residues) Results Analysis Table represents the interpretation of plots:
  • 10. Verify3D utilizes the three- dimensional profiles computed from correct protein structures match their own sequences with high scores for protein model evaluation. Conclusion
  • 11. Learn Bioinformatics Through Interactive Video Courses Ever stuck upon a bioinformatics, computational biology, biological programming problem? Do you want to learn Bioinformatics, Computational Biology, Biological Databases, Biological Programming? Gray Bioinformatics Gold Bioinformatics Gem Bioinformatics 9.99 USD/Month 16.99 USD/Month 18.99 USD/Month Bioinformatics & Computational Biology Courses Biological Programming in Python & R Courses Interactive Video Courses Available Advanced Bioinformatics and Biological Programming Courses Bioinformatics Premium Services Enroll Now Purchase Services