Literature DB >> 26487189

A Python tool to set up relative free energy calculations in GROMACS.

Pavel V Klimovich1,2, David L Mobley3,4.   

Abstract

Free energy calculations based on molecular dynamics (MD) simulations have seen a tremendous growth in the last decade. However, it is still difficult and tedious to set them up in an automated manner, as the majority of the present-day MD simulation packages lack that functionality. Relative free energy calculations are a particular challenge for several reasons, including the problem of finding a common substructure and mapping the transformation to be applied. Here we present a tool, alchemical-setup.py, that automatically generates all the input files needed to perform relative solvation and binding free energy calculations with the MD package GROMACS. When combined with Lead Optimization Mapper (LOMAP; Liu et al. in J Comput Aided Mol Des 27(9):755-770, 2013), recently developed in our group, alchemical-setup.py allows fully automated setup of relative free energy calculations in GROMACS. Taking a graph of the planned calculations and a mapping, both computed by LOMAP, our tool generates the topology and coordinate files needed to perform relative free energy calculations for a given set of molecules, and provides a set of simulation input parameters. The tool was validated by performing relative hydration free energy calculations for a handful of molecules from the SAMPL4 challenge (Mobley et al. in J Comput Aided Mol Des 28(4):135-150, 2014). Good agreement with previously published results and the straightforward way in which free energy calculations can be conducted make alchemical-setup.py a promising tool for automated setup of relative solvation and binding free energy calculations.

Entities:  

Keywords:  Automated setup; Free energy calculation; Hydration free energy; Transfer free energy

Mesh:

Year:  2015        PMID: 26487189      PMCID: PMC4749424          DOI: 10.1007/s10822-015-9873-0

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  12 in total

1.  Practical Aspects of Free-Energy Calculations: A Review.

Authors:  Niels Hansen; Wilfred F van Gunsteren
Journal:  J Chem Theory Comput       Date:  2014-06-06       Impact factor: 6.006

2.  Lead optimization mapper: automating free energy calculations for lead optimization.

Authors:  Shuai Liu; Yujie Wu; Teng Lin; Robert Abel; Jonathan P Redmann; Christopher M Summa; Vivian R Jaber; Nathan M Lim; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2013-09-26       Impact factor: 3.686

3.  Perspective: Alchemical free energy calculations for drug discovery.

Authors:  David L Mobley; Pavel V Klimovich
Journal:  J Chem Phys       Date:  2012-12-21       Impact factor: 3.488

4.  An introduction to best practices in free energy calculations.

Authors:  Michael R Shirts; David L Mobley
Journal:  Methods Mol Biol       Date:  2013

Review 5.  Blind prediction of solvation free energies from the SAMPL4 challenge.

Authors:  David L Mobley; Karisa L Wymer; Nathan M Lim; J Peter Guthrie
Journal:  J Comput Aided Mol Des       Date:  2014-03-11       Impact factor: 3.686

6.  Guidelines for the analysis of free energy calculations.

Authors:  Pavel V Klimovich; Michael R Shirts; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2015-03-26       Impact factor: 3.686

Review 7.  Computations of standard binding free energies with molecular dynamics simulations.

Authors:  Yuqing Deng; Benoît Roux
Journal:  J Phys Chem B       Date:  2009-02-26       Impact factor: 2.991

8.  Predicting ligand binding affinity with alchemical free energy methods in a polar model binding site.

Authors:  Sarah E Boyce; David L Mobley; Gabriel J Rocklin; Alan P Graves; Ken A Dill; Brian K Shoichet
Journal:  J Mol Biol       Date:  2009-09-24       Impact factor: 5.469

9.  Blind prediction of charged ligand binding affinities in a model binding site.

Authors:  Gabriel J Rocklin; Sarah E Boyce; Marcus Fischer; Inbar Fish; David L Mobley; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2013-07-26       Impact factor: 5.469

Review 10.  The SAMPL4 host-guest blind prediction challenge: an overview.

Authors:  Hari S Muddana; Andrew T Fenley; David L Mobley; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2014-03-06       Impact factor: 3.686

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  9 in total

1.  The importance of protonation and tautomerization in relative binding affinity prediction: a comparison of AMBER TI and Schrödinger FEP.

Authors:  Yuan Hu; Brad Sherborne; Tai-Sung Lee; David A Case; Darrin M York; Zhuyan Guo
Journal:  J Comput Aided Mol Des       Date:  2016-08-01       Impact factor: 3.686

2.  Relative binding affinity prediction of farnesoid X receptor in the D3R Grand Challenge 2 using FEP.

Authors:  Christina Schindler; Friedrich Rippmann; Daniel Kuhn
Journal:  J Comput Aided Mol Des       Date:  2017-09-12       Impact factor: 3.686

3.  SAMPL6 Octanol-water partition coefficients from alchemical free energy calculations with MBIS atomic charges.

Authors:  Maximiliano Riquelme; Esteban Vöhringer-Martinez
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

4.  Variational Method for Networkwide Analysis of Relative Ligand Binding Free Energies with Loop Closure and Experimental Constraints.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2021-02-02       Impact factor: 6.006

5.  Large scale relative protein ligand binding affinities using non-equilibrium alchemy.

Authors:  Vytautas Gapsys; Laura Pérez-Benito; Matteo Aldeghi; Daniel Seeliger; Herman van Vlijmen; Gary Tresadern; Bert L de Groot
Journal:  Chem Sci       Date:  2019-12-02       Impact factor: 9.825

6.  Predictions of Ligand Selectivity from Absolute Binding Free Energy Calculations.

Authors:  Matteo Aldeghi; Alexander Heifetz; Michael J Bodkin; Stefan Knapp; Philip C Biggin
Journal:  J Am Chem Soc       Date:  2017-01-09       Impact factor: 15.419

7.  Microsecond MD Simulation and Multiple-Conformation Virtual Screening to Identify Potential Anti-COVID-19 Inhibitors Against SARS-CoV-2 Main Protease.

Authors:  Chandrabose Selvaraj; Umesh Panwar; Dhurvas Chandrasekaran Dinesh; Evzen Boura; Poonam Singh; Vikash Kumar Dubey; Sanjeev Kumar Singh
Journal:  Front Chem       Date:  2021-01-13       Impact factor: 5.221

8.  The inhibition of Mpro, the primary protease of COVID-19, by Poria cocos and its active compounds: a network pharmacology and molecular docking study.

Authors:  Zhimin Wu; Xiaoxue Chen; Weiju Ni; Danshui Zhou; Shanshan Chai; Weile Ye; Zhengpu Zhang; Yuanqiang Guo; Liping Ren; Yu Zeng
Journal:  RSC Adv       Date:  2021-03-25       Impact factor: 3.361

9.  Challenges in the use of atomistic simulations to predict solubilities of drug-like molecules.

Authors:  Guilherme Duarte Ramos Matos; David L Mobley
Journal:  F1000Res       Date:  2018-05-31
  9 in total

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