4.7 Article

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

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 9, 期 9, 页码 4131-4139

出版社

AMER CHEMICAL SOC
DOI: 10.1021/ct400340s

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资金

  1. National Institutes of Health (NIH)
  2. NIH
  3. National Science Foundation (NSF)
  4. Howard Hughes Medical Institute (HHMI)
  5. Center for Theoretical Biological Physics (CTBP)
  6. National Biomedical Computation Resource (NBCR)
  7. National Science Foundation through the Scientific Software Innovations Institutes program NSF SI2-SSE [NSF1047875, NSF1148276]
  8. NSF XSEDE program
  9. NVIDIA Inc.
  10. San Diego Supercomputer Center under XSEDE award [TG-CHE130010]
  11. Direct For Biological Sciences
  12. Div Of Molecular and Cellular Bioscience [1020765] Funding Source: National Science Foundation
  13. Direct For Computer & Info Scie & Enginr
  14. Office of Advanced Cyberinfrastructure (OAC) [1148276] Funding Source: National Science Foundation
  15. Division Of Physics
  16. Direct For Mathematical & Physical Scien [1308264] Funding Source: National Science Foundation

向作者/读者索取更多资源

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 computationally 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 lambda end states making direct calculation of free energies more accurate, compared to the extrapolation required in the existing implementation. The updated alchemical transformation functionality is planned to be included in the next major release of Amber (scheduled for release in Q1 2014), available at http://ambermd.org, under the Amber license.

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