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User-­‐friendly	
  metaworkflows	
  in	
  
quantum	
  chemistry	
  
Alexander	
  Hoffmann,	
  Sonja	
  Herres-­‐Pawlis,	
  Sandra	
  Gesing,	
  	
  
Luis	
  de	
  la	
  Garza,	
  Jens	
  Krüger,	
  and	
  Richard	
  Grunzke	
  
sandra.gesing@nd.edu	
  

	
  

Science	
  Gateway	
  InsKtute	
  Workshop	
  
September	
  27,	
  2013,	
  Indianapolis,	
  Indiana	
  
MoKvaKon	
  
•  Excellent	
  simulaKon	
  
codes	
  available	
  	
  
•  Huge	
  amount	
  of	
  
computaKonal	
  
resources	
  
•  Time	
  consuming	
  
access	
  even	
  for	
  
experienced	
  users	
  
•  Impassable	
  obstacle	
  	
  
for	
  beginners	
  

Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

2	
  
Aims	
  of	
  MoSGrid	
  
Molecular	
  SimulaKon	
  Grid	
  
•  Enabling	
  easier	
  access	
  to	
  DCIs	
  
•  Allowing	
  inexperienced	
  scienKsts	
  to	
  run	
  molecular	
  
simulaKons	
  on	
  DCIs	
  
•  Offering	
  an	
  intuiKve	
  user	
  interface	
  (gateway)	
  
•  Enabling	
  easy	
  	
  
access	
  to	
  	
  
workflows	
  and	
  	
  
data	
  repositories	
  

	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

3	
  
MoSGrid	
  in	
  a	
  Nutshell	
  
Portal	
  
WS-­‐PGRADE	
  
Liferay	
  

	
  
Structure	
   Recipe	
  
	
  
	
  
	
  
	
  

Workflow	
  
Result	
  

User-Input

Coordinates
(xyz/pdb)

Portal

Grid
Ressource

Multiplicity/
Charge

Job Type

#CPU/
Memory

High-­‐level	
  
middleware	
  
service	
  level
	
  
gUSE
	
  

Job Creation

input.gjf

g09

gaussian.log

Distributed	
  
File	
  
System	
  
XtreemFS	
  
Result	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

DCIs	
  
UNICORE	
  6	
  
4	
  
Data	
  Repository	
  	
  
• 	
  	
  Repository	
  consists	
  of	
  data	
  and	
  metadata	
  storage	
  
• 	
  	
  MSML	
  (Molecular	
  SimulaKon	
  Mark-­‐up	
  Language)	
  
• 	
  	
  Subset	
  and	
  extension	
  of	
  CML	
  	
  
	
  (Chemical	
  Mark-­‐up	
  Language)	
  
• 	
  	
  Unified	
  data	
  representaKon	
  for	
  molecules,	
  
	
  macromolecules	
  and	
  recipes	
  
• 	
  	
  Parsers	
  and	
  adapters	
  used	
  for	
  conversions	
  to	
  and	
  
	
  from	
  MSML	
  
	
   Repository	
  
convert	
  
from	
  MSML	
  

Sandra	
  Gesing	
  

convert	
  to	
  
MSML	
  
and	
  index	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

5	
  
Use	
  of	
  Workflows	
  in	
  Domains	
  
•  Quantum	
  Chemical	
  CalculaKons	
  
•  Based	
  on	
  approximated	
  soluKons	
  of	
  the	
  Schrödinger	
  equaKon	
  
•  Average	
  scalability	
  
•  Gaussian,	
  NWChem,	
  …	
  

•  Molecular	
  Dynamics	
  
•  based	
  on	
  forcefields	
  describing	
  molecular	
  interacKons	
  
•  Good	
  scalability	
  
•  Gromacs,	
  NWChem,	
  MD-­‐eSBM-­‐Tools…	
  

•  Docking	
  
•  Based	
  on	
  simplified	
  forcefields	
  
•  Excellent	
  scalability	
  
•  CADDSuite,	
  FlexX,	
  	
  Autodock	
  Vina…	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

6	
  
Basic	
  Workflow	
  
User-­‐	
  
Input	
  
Job	
  
DefiniKon	
  

Portal	
  

Grid	
  
Resource	
  

Meta-­‐	
  
processing	
  
Job	
  
Submission	
  

ApplicaKon	
  
Input	
  
ExecuKon	
  

Output	
  

Post	
  
processing	
  

ApplicaKon	
  
Output	
  

Visualizaton	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

7	
  
The	
  QC	
  Portlet	
  @	
  Mosgrid.de	
  
	
  
	
  

•  Specialised	
   interface	
   for	
   quantum	
   chemistry	
  
sojware	
  	
  
•  Basic	
  workflows	
  
•  Easy	
  GeneraKon	
  or	
  Uploading	
  of	
  Input	
  Files	
  
•  Parsing	
  of	
  result	
  files	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

8	
  
The	
  QC	
  Portlet	
  @	
  Mosgrid.de	
  
	
  
	
  

Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

9	
  
The	
  QC	
  Portlet	
  @	
  Mosgrid.de	
  
	
  
	
  

Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

10	
  
Example:	
  Parameter	
  Sweep	
  
PES	
  file	
  

•  Parameter	
  Sweep	
  
–  Scan	
  of	
  a	
  potenKal	
  
energy	
  surface	
  
(PES)	
  
–  Change	
  of	
  one	
  	
  
parameters	
  crucial	
  
for	
  theoreKcal	
  
analysis	
  
–  ReacKon	
  path	
  
analysis	
  
–  Pre-­‐defined	
  steps	
  
Sandra	
  Gesing	
  

Parameter	
  
range	
  

	
  
	
  
Converter	
  

X-­‐ray	
  
X-­‐ray	
  
(ins	
  X-­‐ray	
  
File)	
  
(ins	
  X-­‐ray	
  
FF
(ins	
  ile)	
   file	
  
Input	
  
(ins	
  ile)	
  
File)	
  

•  Input	
  

–  Molecular	
  structure	
  
–  Parameter	
  
–  Parameter	
  range	
  

•  First	
  step	
  

–  AutomaKc	
  generaKon	
  
of	
  	
  input	
  files	
  	
  

QC	
  code	
  
X-­‐ray	
  
X-­‐ray	
  
(ins	
  X-­‐ray	
  
File)	
  
(ins	
  X-­‐ray	
  
FF
(ins	
  ile)	
   file	
  
(ins	
  ile)	
  
File)	
  
Output	
  

•  Second	
  step	
  	
  

–  Submission	
  into	
  the	
  
grid	
  

•  Third	
  step	
  
Postprocessor	
  
X-­‐ray	
  
X-­‐ray	
  
(ins	
  X-­‐ray	
  
FF
ile)	
  
(ins	
  X-­‐ray	
  
(ins	
  ile)	
   plot	
  
FFile)	
  
Result	
  
(ins	
  ile)	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

–  Plomng	
  of	
  obtained	
  
energies	
  against	
  the	
  
chosen	
  parameter	
  
11	
  
Example:	
  High-­‐Throughput	
  
X-ray
X-ray
X-ray
(ins X-ray
File)

–  NaKve	
  X-­‐ray	
  
format	
  needs	
  to	
  
be	
  converted	
  into	
  
a	
  computaKonal	
  
readable	
  mol	
  file.	
  
–  Time-­‐consuming	
  
process	
  of	
  
manual	
  
conversion	
  can	
  
be	
  transferred	
  
into	
  the	
  portlet.	
  

(ins X-ray
(insFile)
(insFile)
(insFile)
File)
Converter	
  
X-­‐ray	
  
X-­‐ray	
  
(ins	
  X-­‐ray	
  
File)	
  
(ins	
  X-­‐ray	
  
FF
(ins	
  ile)	
   le	
  
Mol	
  fi
(ins	
  ile)	
  
File)	
  

•  Input	
  

–  X-­‐ray	
  data	
  

•  First	
  step	
  

–  Conversion	
  into	
  mol	
  
file	
  	
  

•  Second	
  step	
  	
  

Converter	
  
X-­‐ray	
  
X-­‐ray	
  
(ins	
  X-­‐ray	
  
File)	
  
(ins	
  X-­‐ray	
  
FF
(ins	
  ile)	
  file	
  
Input	
  
(ins	
  ile)	
  
File)	
  

–  Conversion	
  into	
  job	
  
file	
  with	
  pre-­‐defined	
  
job	
  parameters	
  
(funcKonal,	
  basis	
  set)	
  

•  Third	
  step	
  

QC	
  code	
  

–  Submission	
  into	
  the	
  
grid	
  

X-­‐ray	
  
X-­‐ray	
  
(ins	
  X-­‐ray	
  
File)	
  
(ins	
  X-­‐ray	
  
FF
(ins	
  ile)	
   file	
  
Output	
  
(ins	
  ile)	
  
File)	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

12	
  
Example:	
  TransiKon	
  State	
  Analysis	
  
•  Zinc	
  complex	
  reacKng	
  with	
  lacKde	
  

	
  

135

111

0

Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

13	
  
Example:	
  TransiKon	
  State	
  Analysis	
  
•  Input	
  

TS	
  Input	
  file	
  

–  TransiKon	
  state	
  job	
  
file	
  (e.g.	
  QST3	
  file)	
  

QC	
  code	
  

•  First	
  step	
  

–  CalculaKon	
  of	
  TS	
  
geometry	
  	
  

TS	
  geometry	
  

•  Second	
  step	
  	
  

Converter	
  
Frequency	
  
Input	
  file	
  
QC	
  code	
  

QC	
  code	
  

Frequency	
  
Output	
  	
  

Sandra	
  Gesing	
  

IRC	
  Input	
  file	
  

IRC	
  Output	
  	
  

–  Conversion	
  into	
  job	
  
files	
  for	
  frequency	
  
and	
  IRC	
  calculaKons	
  

•  Third	
  step	
  

–  CalculaKon	
  of	
  	
  
frequency	
  and	
  
reacKon	
  path	
  	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

14	
  
Example:	
  Spectroscopic	
  Analysis	
  
Structure	
  

Time-­‐dependent	
  Density	
  FuncKonal	
  Theory	
  
λ / nm

1200900

4

8.0x10

600

300

BP86
PW91
TPSSh
B3LYP
PBE0
CAM-B3LYP
wB97xd
BHLYP

4

4.0x10

0.0
2

4

6

E / eV

Orbital	
  analysis	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

15	
  
Example:	
  Spectroscopic	
  Analysis	
  
Opt	
  WF	
  
Opt
Input
QM code

Output file

Job Creator

Job Creator

Job Creator

Freq input

TD-DFT
input

Popul.
input

Solvation
input

QM code

QM code

QM code

QM code

Freq
Output
Sandra	
  Gesing	
  

Job Creator

TD-DFT
Output

Popul.
Output

Solvation
Output

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

16	
  
Example:	
  Spectroscopic	
  Analysis	
  
Metaworkflow	
  

Freq	
  WF	
  

Sandra	
  Gesing	
  

	
  
	
  
Opt	
  W	
  F	
   F	
  
Opt	
  W
	
  
	
  
	
  
	
  
TD	
  WF	
  
	
   Pop	
  WF	
  
	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

Solv	
  WF	
  

17	
  
Workflow	
  Interoperability	
  
JOB1	
  	
  
JOB3	
  	
  

JOB4	
  	
  

JOB2	
  	
  

Metaworkflow	
  

Freq	
  WF	
  

Sandra	
  Gesing	
  

	
  
Opt	
  WF	
  
	
  
	
  
	
  
	
  
TD	
  WF	
   	
   Pop	
  WF	
  
	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

Solv	
  WF	
  

18	
  
Coarse-­‐grained	
  WF	
  Interoperability	
  

Workflow	
  
system	
  A	
  

Workflow	
  
editor	
  A	
  

WF	
  A	
  

DCI	
  A	
  

Workflow	
  
system	
  B	
  

Workflow	
  
editor	
  B	
  

WF	
  B	
  

Sandra	
  Gesing	
  

DCI	
  B	
  
User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

19	
  
Coarse-­‐grained	
  WF	
  Interoperability	
  

Workflow	
  
system	
  A	
  

Workflow	
  
editor	
  A	
  

WF	
  A	
  
Meta	
  
WF
	
  
WF	
  B	
  

DCI	
  A	
  
Meta	
  
WF
	
  
WF	
  B	
  
Workflow	
  
system	
  B	
  

Workflow	
  
editor	
  B	
  

WF	
  B	
  

Sandra	
  Gesing	
  

DCI	
  B	
  
User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

20	
  
Fine-­‐grained	
  WF	
  Interoperability	
  

Workflow	
  
system	
  A	
  

Workflow	
  
editor	
  A	
  

WF	
  A	
  

DCI	
  A	
  

Workflow	
  
system	
  B	
  

Workflow	
  
editor	
  B	
  

WF	
  B	
  

Sandra	
  Gesing	
  

DCI	
  B	
  
User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

21	
  
Fine-­‐grained	
  WF	
  Interoperability	
  

Workflow	
  
system	
  A	
  

Workflow	
  
editor	
  A	
  

WF	
  A	
  

DCI	
  A	
  

Convert	
  to	
  type	
  A	
  

Workflow	
  
system	
  B	
  

Workflow	
  
editor	
  B	
  

WF	
  B	
  

Sandra	
  Gesing	
  

DCI	
  B	
  
User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

22	
  
Workflows	
  in	
  Quantum	
  Chemistry	
  
•  Applica'on	
  at	
  the	
  QC	
  codes	
  implemented	
  in	
  MoSGrid:	
  
ü Gaussian	
  
ü NWChem	
  
•  Great	
  help	
  for	
  users	
  (via	
  standard	
  recipes	
  in	
  the	
  
repository)	
  
•  Possibility	
  to	
  generate	
  own	
  complex	
  workflows	
  
•  FacilitaKon	
  of	
  data	
  extracKon	
  and	
  postprocessing	
  
•  Meta-­‐workflows	
  allow	
  re-­‐use	
  of	
  basic	
  workflows!	
  
	
  
Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

23	
  
Sustainability	
  
MoSGrid	
  (ended	
  31.12.2012)	
  but	
  partners	
  parKcipate	
  in	
  
	
  
SCI-­‐BUS	
  (SCIenKfic	
  gateway	
  Based	
  User	
  Support)	
  
• 	
  EU	
  project	
  01.10.2011	
  –	
  30.09.2014	
  
• 	
  Extension	
  of	
  the	
  MoSGrid	
  portal	
  with	
  an	
  interacKve	
  
molecule	
  editor	
  based	
  on	
  WebGL	
  and	
  a	
  semanKc	
  search	
  
ER-­‐flow	
  (Building	
  an	
  European	
  Research	
  Community	
  
through	
  Interoperable	
  Workflows	
  and	
  Data)	
  
• 	
  EU	
  project	
  01.10.2012	
  –	
  30.09.2014	
  
• 	
  IntegraKon	
  of	
  applicaKons	
  in	
  SHIWA	
  simulaKon	
  plaqorm	
  
• 	
  Study	
  of	
  data	
  exchange	
  between	
  workflow	
  systems	
  
• 	
  Community	
  management	
  
	
  

Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

24	
  
Acknowledgements	
  
München,	
  LMU	
  
•  Sonja	
  Herres-­‐Pawlis	
  
•  Alexander	
  Hoffmann	
  
Tübingen,	
  BioinformaIcs	
  
•  Oliver	
  Kohlbacher	
  
•  Jens	
  Krüger	
  
•  Luis	
  de	
  la	
  Garza	
  
Berlin,	
  Zuse	
  InsItut	
  
•  Thomas	
  Steinke	
  
•  Patrick	
  Schäfer	
  
Dresden,	
  ZIH	
  
•  Ralf	
  Müller-­‐Pfefferkorn	
  
•  Richard	
  Grunzke	
  
Köln,	
  RRZK	
  
•  Lars	
  Packschies	
  
•  MarKn	
  Kruse	
  
Sandra	
  Gesing	
  

MTA	
  SZTAKI,	
  Computer	
  and	
  
AutomaKon	
  Research	
  
InsKtute,	
  Budapest	
  
Centre	
  for	
  Parallel	
  
CompuKng,	
  	
  
University	
  of	
  Westminster,	
  
London	
  	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

25	
  
sandra.gesing@nd.edu	
  

Sandra	
  Gesing	
  

User-­‐friendly	
  metaworkflows	
  in	
  quantum	
  chemistry	
  

26	
  

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User-­friendly Metaworkflows in Quantum Chemistry

  • 1. User-­‐friendly  metaworkflows  in   quantum  chemistry   Alexander  Hoffmann,  Sonja  Herres-­‐Pawlis,  Sandra  Gesing,     Luis  de  la  Garza,  Jens  Krüger,  and  Richard  Grunzke   sandra.gesing@nd.edu     Science  Gateway  InsKtute  Workshop   September  27,  2013,  Indianapolis,  Indiana  
  • 2. MoKvaKon   •  Excellent  simulaKon   codes  available     •  Huge  amount  of   computaKonal   resources   •  Time  consuming   access  even  for   experienced  users   •  Impassable  obstacle     for  beginners   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   2  
  • 3. Aims  of  MoSGrid   Molecular  SimulaKon  Grid   •  Enabling  easier  access  to  DCIs   •  Allowing  inexperienced  scienKsts  to  run  molecular   simulaKons  on  DCIs   •  Offering  an  intuiKve  user  interface  (gateway)   •  Enabling  easy     access  to     workflows  and     data  repositories     Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   3  
  • 4. MoSGrid  in  a  Nutshell   Portal   WS-­‐PGRADE   Liferay     Structure   Recipe           Workflow   Result   User-Input Coordinates (xyz/pdb) Portal Grid Ressource Multiplicity/ Charge Job Type #CPU/ Memory High-­‐level   middleware   service  level   gUSE   Job Creation input.gjf g09 gaussian.log Distributed   File   System   XtreemFS   Result   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   DCIs   UNICORE  6   4  
  • 5. Data  Repository     •     Repository  consists  of  data  and  metadata  storage   •     MSML  (Molecular  SimulaKon  Mark-­‐up  Language)   •     Subset  and  extension  of  CML      (Chemical  Mark-­‐up  Language)   •     Unified  data  representaKon  for  molecules,    macromolecules  and  recipes   •     Parsers  and  adapters  used  for  conversions  to  and    from  MSML     Repository   convert   from  MSML   Sandra  Gesing   convert  to   MSML   and  index   User-­‐friendly  metaworkflows  in  quantum  chemistry   5  
  • 6. Use  of  Workflows  in  Domains   •  Quantum  Chemical  CalculaKons   •  Based  on  approximated  soluKons  of  the  Schrödinger  equaKon   •  Average  scalability   •  Gaussian,  NWChem,  …   •  Molecular  Dynamics   •  based  on  forcefields  describing  molecular  interacKons   •  Good  scalability   •  Gromacs,  NWChem,  MD-­‐eSBM-­‐Tools…   •  Docking   •  Based  on  simplified  forcefields   •  Excellent  scalability   •  CADDSuite,  FlexX,    Autodock  Vina…   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   6  
  • 7. Basic  Workflow   User-­‐   Input   Job   DefiniKon   Portal   Grid   Resource   Meta-­‐   processing   Job   Submission   ApplicaKon   Input   ExecuKon   Output   Post   processing   ApplicaKon   Output   Visualizaton   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   7  
  • 8. The  QC  Portlet  @  Mosgrid.de       •  Specialised   interface   for   quantum   chemistry   sojware     •  Basic  workflows   •  Easy  GeneraKon  or  Uploading  of  Input  Files   •  Parsing  of  result  files   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   8  
  • 9. The  QC  Portlet  @  Mosgrid.de       Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   9  
  • 10. The  QC  Portlet  @  Mosgrid.de       Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   10  
  • 11. Example:  Parameter  Sweep   PES  file   •  Parameter  Sweep   –  Scan  of  a  potenKal   energy  surface   (PES)   –  Change  of  one     parameters  crucial   for  theoreKcal   analysis   –  ReacKon  path   analysis   –  Pre-­‐defined  steps   Sandra  Gesing   Parameter   range       Converter   X-­‐ray   X-­‐ray   (ins  X-­‐ray   File)   (ins  X-­‐ray   FF (ins  ile)   file   Input   (ins  ile)   File)   •  Input   –  Molecular  structure   –  Parameter   –  Parameter  range   •  First  step   –  AutomaKc  generaKon   of    input  files     QC  code   X-­‐ray   X-­‐ray   (ins  X-­‐ray   File)   (ins  X-­‐ray   FF (ins  ile)   file   (ins  ile)   File)   Output   •  Second  step     –  Submission  into  the   grid   •  Third  step   Postprocessor   X-­‐ray   X-­‐ray   (ins  X-­‐ray   FF ile)   (ins  X-­‐ray   (ins  ile)   plot   FFile)   Result   (ins  ile)   User-­‐friendly  metaworkflows  in  quantum  chemistry   –  Plomng  of  obtained   energies  against  the   chosen  parameter   11  
  • 12. Example:  High-­‐Throughput   X-ray X-ray X-ray (ins X-ray File) –  NaKve  X-­‐ray   format  needs  to   be  converted  into   a  computaKonal   readable  mol  file.   –  Time-­‐consuming   process  of   manual   conversion  can   be  transferred   into  the  portlet.   (ins X-ray (insFile) (insFile) (insFile) File) Converter   X-­‐ray   X-­‐ray   (ins  X-­‐ray   File)   (ins  X-­‐ray   FF (ins  ile)   le   Mol  fi (ins  ile)   File)   •  Input   –  X-­‐ray  data   •  First  step   –  Conversion  into  mol   file     •  Second  step     Converter   X-­‐ray   X-­‐ray   (ins  X-­‐ray   File)   (ins  X-­‐ray   FF (ins  ile)  file   Input   (ins  ile)   File)   –  Conversion  into  job   file  with  pre-­‐defined   job  parameters   (funcKonal,  basis  set)   •  Third  step   QC  code   –  Submission  into  the   grid   X-­‐ray   X-­‐ray   (ins  X-­‐ray   File)   (ins  X-­‐ray   FF (ins  ile)   file   Output   (ins  ile)   File)   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   12  
  • 13. Example:  TransiKon  State  Analysis   •  Zinc  complex  reacKng  with  lacKde     135 111 0 Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   13  
  • 14. Example:  TransiKon  State  Analysis   •  Input   TS  Input  file   –  TransiKon  state  job   file  (e.g.  QST3  file)   QC  code   •  First  step   –  CalculaKon  of  TS   geometry     TS  geometry   •  Second  step     Converter   Frequency   Input  file   QC  code   QC  code   Frequency   Output     Sandra  Gesing   IRC  Input  file   IRC  Output     –  Conversion  into  job   files  for  frequency   and  IRC  calculaKons   •  Third  step   –  CalculaKon  of     frequency  and   reacKon  path     User-­‐friendly  metaworkflows  in  quantum  chemistry   14  
  • 15. Example:  Spectroscopic  Analysis   Structure   Time-­‐dependent  Density  FuncKonal  Theory   λ / nm 1200900 4 8.0x10 600 300 BP86 PW91 TPSSh B3LYP PBE0 CAM-B3LYP wB97xd BHLYP 4 4.0x10 0.0 2 4 6 E / eV Orbital  analysis   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   15  
  • 16. Example:  Spectroscopic  Analysis   Opt  WF   Opt Input QM code Output file Job Creator Job Creator Job Creator Freq input TD-DFT input Popul. input Solvation input QM code QM code QM code QM code Freq Output Sandra  Gesing   Job Creator TD-DFT Output Popul. Output Solvation Output User-­‐friendly  metaworkflows  in  quantum  chemistry   16  
  • 17. Example:  Spectroscopic  Analysis   Metaworkflow   Freq  WF   Sandra  Gesing       Opt  W  F   F   Opt  W         TD  WF     Pop  WF     User-­‐friendly  metaworkflows  in  quantum  chemistry   Solv  WF   17  
  • 18. Workflow  Interoperability   JOB1     JOB3     JOB4     JOB2     Metaworkflow   Freq  WF   Sandra  Gesing     Opt  WF           TD  WF     Pop  WF     User-­‐friendly  metaworkflows  in  quantum  chemistry   Solv  WF   18  
  • 19. Coarse-­‐grained  WF  Interoperability   Workflow   system  A   Workflow   editor  A   WF  A   DCI  A   Workflow   system  B   Workflow   editor  B   WF  B   Sandra  Gesing   DCI  B   User-­‐friendly  metaworkflows  in  quantum  chemistry   19  
  • 20. Coarse-­‐grained  WF  Interoperability   Workflow   system  A   Workflow   editor  A   WF  A   Meta   WF   WF  B   DCI  A   Meta   WF   WF  B   Workflow   system  B   Workflow   editor  B   WF  B   Sandra  Gesing   DCI  B   User-­‐friendly  metaworkflows  in  quantum  chemistry   20  
  • 21. Fine-­‐grained  WF  Interoperability   Workflow   system  A   Workflow   editor  A   WF  A   DCI  A   Workflow   system  B   Workflow   editor  B   WF  B   Sandra  Gesing   DCI  B   User-­‐friendly  metaworkflows  in  quantum  chemistry   21  
  • 22. Fine-­‐grained  WF  Interoperability   Workflow   system  A   Workflow   editor  A   WF  A   DCI  A   Convert  to  type  A   Workflow   system  B   Workflow   editor  B   WF  B   Sandra  Gesing   DCI  B   User-­‐friendly  metaworkflows  in  quantum  chemistry   22  
  • 23. Workflows  in  Quantum  Chemistry   •  Applica'on  at  the  QC  codes  implemented  in  MoSGrid:   ü Gaussian   ü NWChem   •  Great  help  for  users  (via  standard  recipes  in  the   repository)   •  Possibility  to  generate  own  complex  workflows   •  FacilitaKon  of  data  extracKon  and  postprocessing   •  Meta-­‐workflows  allow  re-­‐use  of  basic  workflows!     Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   23  
  • 24. Sustainability   MoSGrid  (ended  31.12.2012)  but  partners  parKcipate  in     SCI-­‐BUS  (SCIenKfic  gateway  Based  User  Support)   •   EU  project  01.10.2011  –  30.09.2014   •   Extension  of  the  MoSGrid  portal  with  an  interacKve   molecule  editor  based  on  WebGL  and  a  semanKc  search   ER-­‐flow  (Building  an  European  Research  Community   through  Interoperable  Workflows  and  Data)   •   EU  project  01.10.2012  –  30.09.2014   •   IntegraKon  of  applicaKons  in  SHIWA  simulaKon  plaqorm   •   Study  of  data  exchange  between  workflow  systems   •   Community  management     Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   24  
  • 25. Acknowledgements   München,  LMU   •  Sonja  Herres-­‐Pawlis   •  Alexander  Hoffmann   Tübingen,  BioinformaIcs   •  Oliver  Kohlbacher   •  Jens  Krüger   •  Luis  de  la  Garza   Berlin,  Zuse  InsItut   •  Thomas  Steinke   •  Patrick  Schäfer   Dresden,  ZIH   •  Ralf  Müller-­‐Pfefferkorn   •  Richard  Grunzke   Köln,  RRZK   •  Lars  Packschies   •  MarKn  Kruse   Sandra  Gesing   MTA  SZTAKI,  Computer  and   AutomaKon  Research   InsKtute,  Budapest   Centre  for  Parallel   CompuKng,     University  of  Westminster,   London     User-­‐friendly  metaworkflows  in  quantum  chemistry   25  
  • 26. sandra.gesing@nd.edu   Sandra  Gesing   User-­‐friendly  metaworkflows  in  quantum  chemistry   26