30 January 2018 to 1 February 2018
CERN
Europe/Zurich timezone

West-Life, Tools for Integrative Structural Biology

31 Jan 2018, 15:20
15m
30/7-018 - Kjell Johnsen Auditorium (CERN)

30/7-018 - Kjell Johnsen Auditorium

CERN

190
Show room on map

Speaker

Tomas Kulhanek (STFC Daresbury Laboratory)

Description

Structural biology is part of molecular biology focusing on determining structure of macromolecules inside living cells and cell membranes. As macromolecules determines most of the functions of cells the structural knowledge is very useful for further research in metabolism, physiology to application in pharmacology etc.

As macromolecules are too small to be observed directly by light microscope, there are other methods used to determine the structure including nuclear magnetic resonance (NMR), X-Ray crystalography, cryo electron microscopy and others. Each method has it's advantages and disadvantages in the terms of availability, sample preparation, resolution.

West-Life project has ambition to facilitate integrative approach using multiple techniques mentioned above. As there are already lot of software tools to process data produced by the techniques above, the challenge is to integrate them together in a way they can be used by experts in one technique but not experts in other techniques.

One product of the West-Life project is a data management service - virtual folder. It delivers a uniform way to integrate scattered data from different storage providers.

Another product is a virtual machine, which may allow to launch specific software tools to process user's data in virtual folder.

CernVM with option to be launched with graphical user interface is used as a basic template to contextualize virtual machine with additional structural biology software suites such as CCP4, Scipion and others. CernVM-FS is used to distribute updates of structural biology software suites as well as West-Life specific services - virtual folder and newly repository.

The virtual machine templates are available in EGI's APP DB as well as within STFC cloud computing infrastructure.

Primary author

Tomas Kulhanek (STFC Daresbury Laboratory)

Co-author

Catalin Condurache (STFC-Rutherford Appleton Laboratory (GB))

Presentation Materials