Literature DB >> 16099763

Grid-based steered thermodynamic integration accelerates the calculation of binding free energies.

Philip W Fowler1, Shantenu Jha, Peter V Coveney.   

Abstract

The calculation of binding free energies is important in many condensed matter problems. Although formally exact computational methods have the potential to complement, add to, and even compete with experimental approaches, they are difficult to use and extremely time consuming. We describe a Grid-based approach for the calculation of relative binding free energies, which we call Steered Thermodynamic Integration calculations using Molecular Dynamics (STIMD), and its application to Src homology 2 (SH2) protein cell signalling domains. We show that the time taken to compute free energy differences using thermodynamic integration can be significantly reduced: potentially from weeks or months to days of wall-clock time. To be able to perform such accelerated calculations requires the ability to both run concurrently and control in realtime several parallel simulations on a computational Grid. We describe how the RealityGrid computational steering system, in conjunction with a scalable classical MD code, can be used to dramatically reduce the time to achieve a result. This is necessary to improve the adoption of this technique and further allows more detailed investigations into the accuracy and precision of thermodynamic integration. Initial results for the Src SH2 system are presented and compared to a reported experimental value. Finally, we discuss the significance of our approach.

Mesh:

Year:  2005        PMID: 16099763     DOI: 10.1098/rsta.2005.1625

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  2 in total

Review 1.  Modelling biological complexity: a physical scientist's perspective.

Authors:  Peter V Coveney; Philip W Fowler
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

Review 2.  Rapid, accurate, precise and reproducible ligand-protein binding free energy prediction.

Authors:  Shunzhou Wan; Agastya P Bhati; Stefan J Zasada; Peter V Coveney
Journal:  Interface Focus       Date:  2020-10-16       Impact factor: 3.906

  2 in total

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