Literature DB >> 30289712

Reproducibility of Free Energy Calculations across Different Molecular Simulation Software Packages.

Hannes H Loeffler1, Stefano Bosisio2, Guilherme Duarte Ramos Matos3, Donghyuk Suh4, Benoit Roux4, David L Mobley5, Julien Michel2.   

Abstract

Alchemical free energy calculations are an increasingly important modern simulation technique to calculate free energy changes on binding or solvation. Contemporary molecular simulation software such as AMBER, CHARMM, GROMACS, and SOMD include support for the method. Implementation details vary among those codes, but users expect reliability and reproducibility, i.e., for a given molecular model and set of force field parameters, comparable free energy differences should be obtained within statistical bounds regardless of the code used. Relative alchemical free energy (RAFE) simulation is increasingly used to support molecule discovery projects, yet the reproducibility of the methodology has been less well tested than its absolute counterpart. Here we present RAFE calculations of hydration free energies for a set of small organic molecules and demonstrate that free energies can be reproduced to within about 0.2 kcal/mol with the aforementioned codes. Absolute alchemical free energy simulations have been carried out as a reference. Achieving this level of reproducibility requires considerable attention to detail and package-specific simulation protocols, and no universally applicable protocol emerges. The benchmarks and protocols reported here should be useful for the community to validate new and future versions of software for free energy calculations.

Year:  2018        PMID: 30289712     DOI: 10.1021/acs.jctc.8b00544

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  21 in total

1.  The SAMPL6 SAMPLing challenge: assessing the reliability and efficiency of binding free energy calculations.

Authors:  Andrea Rizzi; Travis Jensen; David R Slochower; Matteo Aldeghi; Vytautas Gapsys; Dimitris Ntekoumes; Stefano Bosisio; Michail Papadourakis; Niel M Henriksen; Bert L de Groot; Zoe Cournia; Alex Dickson; Julien Michel; Michael K Gilson; Michael R Shirts; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2020-01-27       Impact factor: 3.686

2.  Ranking Reversible Covalent Drugs: From Free Energy Perturbation to Fragment Docking.

Authors:  Han Zhang; Wenjuan Jiang; Payal Chatterjee; Yun Luo
Journal:  J Chem Inf Model       Date:  2019-02-27       Impact factor: 4.956

3.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

Authors:  Tai-Sung Lee; Bryce K Allen; Timothy J Giese; Zhenyu Guo; Pengfei Li; Charles Lin; T Dwight McGee; David A Pearlman; Brian K Radak; Yujun Tao; Hsu-Chun Tsai; Huafeng Xu; Woody Sherman; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

4.  Applicability of a thermodynamic cycle approach for a force field parametrization targeting non-aqueous solvation free energies.

Authors:  Andreas Mecklenfeld; Gabriele Raabe
Journal:  J Comput Aided Mol Des       Date:  2019-11-28       Impact factor: 3.686

5.  Validation of Free Energy Methods in AMBER.

Authors:  Hsu-Chun Tsai; Yujun Tao; Tai-Sung Lee; Kenneth M Merz; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-07-06       Impact factor: 4.956

6.  Computing Relative Binding Affinity of Ligands to Receptor: An Effective Hybrid Single-Dual-Topology Free-Energy Perturbation Approach in NAMD.

Authors:  Wei Jiang; Christophe Chipot; Benoît Roux
Journal:  J Chem Inf Model       Date:  2019-08-27       Impact factor: 4.956

7.  CHARMM-GUI Free Energy Calculator for Absolute and Relative Ligand Solvation and Binding Free Energy Simulations.

Authors:  Seonghoon Kim; Hiraku Oshima; Han Zhang; Nathan R Kern; Suyong Re; Jumin Lee; Benoît Roux; Yuji Sugita; Wei Jiang; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2020-10-28       Impact factor: 6.006

8.  On Restraints in End-Point Protein-Ligand Binding Free Energy Calculations.

Authors:  William M Menzer; Bing Xie; David D L Minh
Journal:  J Comput Chem       Date:  2019-12-10       Impact factor: 3.376

9.  Generalizing the Discrete Gibbs Sampler-Based λ-Dynamics Approach for Multisite Sampling of Many Ligands.

Authors:  Jonah Z Vilseck; Xinqiang Ding; Ryan L Hayes; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2021-06-08       Impact factor: 6.006

10.  A Benchmark of Electrostatic Method Performance in Relative Binding Free Energy Calculations.

Authors:  Yunhui Ge; David F Hahn; David L Mobley
Journal:  J Chem Inf Model       Date:  2021-03-09       Impact factor: 4.956

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