Https://engage.cpc.wmin.ac.uk Using the WS-PGRADE Portal in the ProSim Project Protein Molecule Simulation on the Grid Tamas Kiss, Gabor Testyanszky, Noam.

Slides:



Advertisements
Similar presentations
Polska Infrastruktura Informatycznego Wspomagania Nauki w Europejskiej Przestrzeni Badawczej Institute of Computer Science AGH ACC Cyfronet AGH The PL-Grid.
Advertisements

Legacy code support for commercial production Grids G.Terstyanszky, T. Kiss, T. Delaitre, S. Winter School of Informatics, University.
P-GRADE and WS-PGRADE portals supporting desktop grids and clouds Peter Kacsuk MTA SZTAKI
WS-PGRADE: Supporting parameter sweep applications in workflows Péter Kacsuk, Krisztián Karóczkai, Gábor Hermann, Gergely Sipos, and József Kovács MTA.
RCAC Research Computing Presents: DiaGird Overview Tuesday, September 24, 2013.
Extending a molecular docking tool to run simulations on clouds Damjan Temelkovski Dr. Tamas Kiss Dr. Gabor Terstyanszky University of Westminster.
EXTENDING SCIENTIFIC WORKFLOW SYSTEMS TO SUPPORT MAPREDUCE BASED APPLICATIONS IN THE CLOUD Shashank Gugnani Tamas Kiss.
1 Application Specific Module for P-GRADE Portal 2.7 Application Specific Module overview Akos Balasko MTA-SZTAKI LPDS
1 portal.p-grade.hu További lehetőségek a P-GRADE Portállal Gergely Sipos MTA SZTAKI Hungarian Academy of Sciences.
EUROPEAN UNION Polish Infrastructure for Supporting Computational Science in the European Research Space The Capabilities of the GridSpace2 Experiment.
Cloud Usage Overview The IBM SmartCloud Enterprise infrastructure provides an API and a GUI to the users. This is being used by the CloudBroker Platform.
Workflow sharing and integration services by the ER-flow project on behalf of the ER-flow consortium EGI Community Forum, Manchester,
1 portal.p-grade.hu Further information on P-GRADE Gergely Sipos MTA SZTAKI Hungarian Academy of Sciences.
EGEE-III INFSO-RI Enabling Grids for E-sciencE Latest achievements of the Grid Application Support Centre at MTA SZTAKI Gergely.
Application of e-infrastructure to real research.
Flexibility and user-friendliness of grid portals: the PROGRESS approach Michal Kosiedowski
1 Developing domain specific gateways based on the WS- PGRADE/gUSE framework Peter Kacsuk MTA SZTAKI Start date: Duration:
07/06/11 New Features of WS-PGRADE (and gUSE) 2010 Q Q2 Miklós Kozlovszky MTA SZTAKI LPDS.
G. Terstyanszky, T. Kukla, T. Kiss, S. Winter, J.: Centre for Parallel Computing School of Electronics and Computer Science, University of.
SCI-BUS is supported by the FP7 Capacities Programme under contract nr RI Creating the Autodock gateway from WS-PGRADE/gUSE and making it cloud-enabled.
From P-GRADE to SCI-BUS Peter Kacsuk, Zoltan Farkas and Miklos Kozlovszky MTA SZTAKI - Computer and Automation Research Institute of the Hungarian Academy.

Protein Molecule Simulation on the Grid G-USE in ProSim Project Tamas Kiss Joint EGGE and EDGeS Summer School.
Parameter Sweep Workflows for Modelling Carbohydrate Recognition ProSim Project Tamas Kiss, Gabor Terstyanszky, Noam Weingarten.
INFSO-RI Enabling Grids for E-sciencE V. Breton, 30/08/05, seminar at SERONO Grid added value to fight malaria Vincent Breton EGEE.
INFSO-RI Enabling Grids for E-sciencE Supporting legacy code applications on EGEE VOs by GEMLCA and the P-GRADE portal P. Kacsuk*,
Introduction to WS-PGRADE and gUSE Tutorial Akos Balasko 04/17/
WS-PGRADE portal and its usage in the CancerGrid project M. Kozlovszky, P. Kacsuk Computer and Automation Research Institute of the Hungarian Academy of.
1 Advanced features of the P-GRADE portal Peter Kacsuk, Gergely Sipos Peter Kacsuk, Gergely Sipos MTA.
Grid Execution Management for Legacy Code Applications Grid Enabling Legacy Code Applications Tamas Kiss Centre for Parallel.
Co-ordination & Harmonisation of Advanced e-Infrastructures for Research and Education Data Sharing Research Infrastructures – Proposal n GROMACs.
EGEE-III INFSO-RI Enabling Grids for E-sciencE Application Porting Support in EGEE Gergely Sipos MTA SZTAKI EGEE’08.
P-GRADE and GEMLCA.
Grid Execution Management for Legacy Code Applications Grid Enabling Legacy Applications.
Cooperative experiments in VL-e: from scientific workflows to knowledge sharing Z.Zhao (1) V. Guevara( 1) A. Wibisono(1) A. Belloum(1) M. Bubak(1,2) B.
EGEE-III INFSO-RI Enabling Grids for E-sciencE EGEE and gLite are registered trademarks Services for advanced workflow programming.
FRANEC and BaSTI grid integration Massimo Sponza INAF - Osservatorio Astronomico di Trieste.
A scalable and flexible platform to run various types of resource intensive applications on clouds ISWG June 2015 Budapest, Hungary Tamas Kiss,
The SEE-GRID-SCI initiative is co-funded by the European Commission under the FP7 Research Infrastructures contract no Workflow repository, user.
Convert generic gUSE Portal into a science gateway Akos Balasko.
SHIWA and Coarse-grained Workflow Interoperability Gabor Terstyanszky, University of Westminster Summer School Budapest July 2012 SHIWA is supported.
GRIDP: Web-enabled Drug Discovery Is there any way I can use computational tools to reduce the number of molecules I have to screen to a manageable number,
Portals and my Grid Stefan Rennick Egglestone Mixed Reality Laboratory University of Nottingham.
SHIWA: Is the Workflow Interoperability a Myth or Reality PUCOWO, June 2011, London Gabor Terstyanszky, Tamas Kiss, Tamas Kukla University of Westminster.
EUROPEAN UNION Polish Infrastructure for Supporting Computational Science in the European Research Space The Capabilities of the GridSpace2 Experiment.
Millions of Jobs or a few good solutions …. David Abramson Monash University MeSsAGE Lab X.
Application Specific Module Tutorial Zoltán Farkas, Ákos Balaskó 03/27/
1 SCI-BUS: building e-Science gateways in Europe: building e-Science gateways in Europe Peter Kacsuk and Zoltan Farkas MTA SZTAKI.
1 Porting applications to the NGS, using the P-GRADE portal and GEMLCA Peter Kacsuk MTA SZTAKI Hungarian Academy of Sciences Centre for.
1 Further information and next steps Further information and next steps Gergely Sipos MTA SZTAKI
Grid Execution Management for Legacy Code Architecture Exposing legacy applications as Grid services: the GEMLCA approach Centre.
The EDGeS project receives Community research funding 1 Support services for desktop grids and service grids by the EDGeS project Tamas Kiss – University.
Supporting Big Data Processing via Science Gateways EGI CF 2015, November, Bari, Italy Dr Tamas Kiss, CloudSME Project Director University of Westminster,
Remote Api Tutorial How to call WS-PGRADE workflows from remote clients through the http protocol?
Usage of WS-PGRADE and gUSE in European and national projects Peter Kacsuk 03/27/
InSilicoLab – Grid Environment for Supporting Numerical Experiments in Chemistry Joanna Kocot, Daniel Harężlak, Klemens Noga, Mariusz Sterzel, Tomasz Szepieniec.
FESR Consorzio COMETA - Progetto PI2S2 Molecular Modelling Applications Laura Giurato Gruppo di Modellistica Molecolare (Prof.
Grid Execution Management for Legacy Code Applications Grid Enabling Legacy Applications.
SCI-BUS project Pre-kick-off meeting University of Westminster Centre for Parallel Computing Tamas Kiss, Stephen Winter, Gabor.
Convert generic gUSE Portal into a science gateway Akos Balasko.
Co-ordination & Harmonisation of Advanced e-Infrastructures for Research and Education Data Sharing Research Infrastructures – Proposal n Gromacs.
1st EELA-2 Grid School 2-15 November Jérôme Verleyen Juan Manuel Hurtado Rámirez Enrique Merino Pérez META-DOCK.
Integrating Scientific Tools and Web Portals
Peter Kacsuk, Zoltan Farkas MTA SZTAKI
P-GRADE and GEMLCA.
APPLICATIONS OF BIOINFORMATICS IN DRUG DISCOVERY
Ligand Docking to MHC Class I Molecules
University of Westminster Centre for Parallel Computing
Dtk-tools Benoit Raybaud, Research Software Manager.
Introduction to the SHIWA Simulation Platform EGI User Forum,
Presentation transcript:

Using the WS-PGRADE Portal in the ProSim Project Protein Molecule Simulation on the Grid Tamas Kiss, Gabor Testyanszky, Noam Weingarten, Zsolt Lichtenberger 1 st P-GRADE Portal User Community Workshop June 10-11, Zurich, Switzerland

The biological interest The motivation: Understanding how sugars interact with their protein partners may lead to development of new treatment methods for many diseases. The obstacle: Investigation of the binding of proteins to sugars in “wet laboratory” (in vitro) experiments is expensive and time consuming Expensive substrates Sophisticated machinery The solution: Use “in silico” tools (computer simulation) to select best binding candidates In vitro work only on selected candidates

The biological interest Binding pocket Sugar (ligand) Protein (receptor)

The biological interest Advantages of in silico methods: Better focusing wet laboratory resources: Better planning of experiments by selecting best molecules to investigate in vitro Reduced time and cost Increased number of molecules screened Problems of in silico experiments: Time consuming Weeks or months on a single computer Simulation tools are too complex for an average bio-scientist Unix command line interfaces Bio-molecular simulation tools are not widely tested and validated Are the results really useful and accurate?

What can we gain via the simulation? 1. 1.Validation and refinement of in-silico modelling tools 2. 2.Filter potential scenarios for wet lab experiments

The researcher’s interest What does the researcher want? Run the simulations faster use Grid resources – National Grid Service (NGS) and EGEE Run the simulations using seamless access to compute resources web based interface combining many simulation, analysis and visualisation tool workflows running multiple docking experiments and molecular dynamics analysis to investigate different scenarios parameter study

ProSim – Protein Molecule Simulation on the Grid Funded by the JISC- ENGAGE program Engaging Research with e-Infrastructure promote the greater engagement of academic researchers in the UK with the UK's e-Infrastructure Prosim objectives: – –define user requirements and user scenarios of protein molecule simulation – –Identify, test and select software packages for protein molecule simulation – –automate the protein molecule simulation creating workflows and parameter study support. – –develop application specific graphical user interfaces – –run protein molecule simulation on the UK National Grid Service and make it available for the bioscience research community.

The User Scenario PDB file 1 (Receptor) PDB file 2 (Ligand) Energy Minimization (Gromacs) Validate (Molprobity) Check (Molprobity) Perform docking (AutoDock) Molecular Dynamics (Gromacs) Phase 1 Phase 2 Phase 3 Phase 4

The User Scenario in detail Public repository Local database User provided Preparation and standardisation Solvation and charge neutralization Energy minimization Validation phase 1 – selection and preparation of receptor Solvation Energy minimization Built using SMILES Public repository Local database User provided phase 2 – selection and preparation of ligand

The User Scenario Prepare docking: docking parameters and grid-space - AutoGrid Docking and selection of best results according to total energy AutoDock 10 AutoDock executions, 100 genetic algorithm runs each phase 3 – docking ligand to receptor Solvation of the ligand- receptor structure Energy minimisation – GROMACS Molecular dynamics GROMACS MPI version Molecule trajectory data analysis phase 4 – refining the ligand- receptor molecule (performed on 10 best results of the AutoDock simulation)

The Workflow in WS-PGRADE a combination of GEMLCA and standard g-USE jobs Executed on 5 different sites of the UK NGS Parameter sweeps in phases 3 (via a script) and 4 (via WS- PGRADE parameter sweep)

Running simulations Set input parameters Upload input files Select executor sites Follow execution progress Typical execution time: 24 hours

User views Biologist end-user Minimal computer and g-USE skills Only interested in running her own reserach Import, parameterize, execute and visualise workflows only Expert user g-USE and computer literate biologist Modify workflows Design new experiments Communicate end-user request towards IT team

The ProSim visualiser Visualisation in a newly developed portlet Allows visualisation of receptor, ligand and docked molecules at any phase during and after simulation (if the necessary files have already been generated) Allows to visualise and compare two molecules at a time. Energy, pressure, temperature and other important statistics statistics are also displayed. Using the KiNG ((Kinemage, Next Generation) visualisation tool

The ProSim visualiser

The ProSim visualiser

Lessons learned Communication between scientists and Grid experts is extremely difficult More than 50% of total time spent for the project is for communication and describing/understanding user requests/requirements Novice Grid users require totally transparent access to Grid resources User is interested in her science and not in MPI, Globus or WMS.

Future plans Make workflow more flexible to accommodate numerous different user scenarios Investigate further scenarios such as virtual screening of many ligands to one selected receptor Led to follow-up co-operation with Imperial College London: High-throughput Molecular Dynamics Modelling of Molecular Machines - proposal under review

Thank you for your attention! Any questions? Contact and more information: Paper: Tamas Kiss, Pamela Greenwell, Hans Heindl, Gabor Terstyanszky and Noam Weingarten, Parameter Sweep Workflows for Modelling Carbohydrate Recognition, Submitted to the Journal of Grid Computing, Currently under review.