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Improving the Efficiency of Free Energy Calculations in the Amber Molecular Dynamics Package.


ABSTRACT: Alchemical transformations are widely used methods to calculate free energies. Amber has traditionally included support for alchemical transformations as part of the sander molecular dynamics (MD) engine. Here we describe the implementation of a more efficient approach to alchemical transformations in the Amber MD package. Specifically we have implemented this new approach within the more computational efficient and scalable pmemd MD engine that is included with the Amber MD package. The majority of the gain in efficiency comes from the improved design of the calculation, which includes better parallel scaling and reduction in the calculation of redundant terms. This new implementation is able to reproduce results from equivalent simulations run with the existing functionality, but at 2.5 times greater computational efficiency. This new implementation is also able to run softcore simulations at the ? end states making direct calculation of free energies more accurate, compared to the extrapolation required in the existing implementation. The updated alchemical transformation functionality will be included in the next major release of Amber (scheduled for release in Q1 2014) and will be available at http://ambermd.org, under the Amber license.

SUBMITTER: Kaus JW 

PROVIDER: S-EPMC3811123 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature

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Improving the Efficiency of Free Energy Calculations in the Amber Molecular Dynamics Package.

Kaus Joseph W JW   Pierce Levi T LT   Walker Ross C RC   McCammont J Andrew JA  

Journal of chemical theory and computation 20130901 9


Alchemical transformations are widely used methods to calculate free energies. Amber has traditionally included support for alchemical transformations as part of the <i>sander</i> molecular dynamics (MD) engine. Here we describe the implementation of a more efficient approach to alchemical transformations in the Amber MD package. Specifically we have implemented this new approach within the more computational efficient and scalable <i>pmemd</i> MD engine that is included with the Amber MD packag  ...[more]

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