Literature DB >> 25330964

Calculation of binding free energies.

Vytautas Gapsys1, Servaas Michielssens, Jan Henning Peters, Bert L de Groot, Hadas Leonov.   

Abstract

Molecular dynamics simulations enable access to free energy differences governing the driving force underlying all biological processes. In the current chapter we describe alchemical methods allowing the calculation of relative free energy differences. We concentrate on the binding free energies that can be obtained using non-equilibrium approaches based on the Crooks Fluctuation Theorem. Together with the theoretical background, the chapter covers practical aspects of hybrid topology generation, simulation setup, and free energy estimation. An important aspect of the validation of a simulation setup is illustrated by means of calculating free energy differences along a full thermodynamic cycle. We provide a number of examples, including protein-ligand and protein-protein binding as well as ligand solvation free energy calculations.

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Year:  2015        PMID: 25330964     DOI: 10.1007/978-1-4939-1465-4_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  28 in total

1.  Toward Fast and Accurate Binding Affinity Prediction with pmemdGTI: An Efficient Implementation of GPU-Accelerated Thermodynamic Integration.

Authors:  Tai-Sung Lee; Yuan Hu; Brad Sherborne; Zhuyan Guo; Darrin M York
Journal:  J Chem Theory Comput       Date:  2017-06-23       Impact factor: 6.006

2.  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

3.  Blinded evaluation of cathepsin S inhibitors from the D3RGC3 dataset using molecular docking and free energy calculations.

Authors:  Ludovic Chaput; Edithe Selwa; Eddy Elisée; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2018-09-11       Impact factor: 3.686

4.  Predicting ligand binding affinity using on- and off-rates for the SAMPL6 SAMPLing challenge.

Authors:  Tom Dixon; Samuel D Lotz; Alex Dickson
Journal:  J Comput Aided Mol Des       Date:  2018-08-23       Impact factor: 3.686

5.  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

6.  Blinded evaluation of farnesoid X receptor (FXR) ligands binding using molecular docking and free energy calculations.

Authors:  Edithe Selwa; Eddy Elisée; Agustin Zavala; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2017-09-02       Impact factor: 3.686

7.  Multiscale simulation unravel the kinetic mechanisms of inflammasome assembly.

Authors:  Zhaoqian Su; Yinghao Wu
Journal:  Biochim Biophys Acta Mol Cell Res       Date:  2019-11-21       Impact factor: 4.739

8.  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

9.  Assigning confidence to molecular property prediction.

Authors:  AkshatKumar Nigam; Robert Pollice; Matthew F D Hurley; Riley J Hickman; Matteo Aldeghi; Naruki Yoshikawa; Seyone Chithrananda; Vincent A Voelz; Alán Aspuru-Guzik
Journal:  Expert Opin Drug Discov       Date:  2021-06-15       Impact factor: 7.050

10.  Combining free energy calculations with tailored enzyme activity assays to elucidate substrate binding of a phospho-lysine phosphatase.

Authors:  Anett Hauser; Songhwan Hwang; Han Sun; Christian P R Hackenberger
Journal:  Chem Sci       Date:  2020-09-08       Impact factor: 9.825

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