Literature DB >> 19693787

Alchemical free energy simulations for biological complexes: powerful but temperamental....

Alexey Aleksandrov1, Damien Thompson, Thomas Simonson.   

Abstract

Free energy simulations compare multiple ligand:receptor complexes by "alchemically" transforming one into another, yielding binding free energy differences. Since their introduction in the 1980s, many technical and theoretical obstacles were surmounted, and the method ("MDFE," since molecular dynamics are often used) has matured into a powerful tool. We describe its current status, its effectiveness, and the challenges it faces. MDFE has provided chemical accuracy for many systems but remains expensive, with significant human overhead costs. The bottlenecks have shifted, partly due to increased computer power. To study diverse sets of ligands, force field availability and accuracy can be a major difficulty. Another difficulty is the frequent need to consider multiple states, related to sidechain protonation or buried waters, for example. Sophisticated, automated methods to sample these states are maturing, such as constant pH simulations. Meanwhile, combinations of MDFE and simpler approaches, like continuum dielectric models, can be very effective. As illustrations, we show how, with careful force field parameterization, MDFE accurately predicts binding specificities between complex tetracycline ligands and their targets. We describe substrate binding to the aspartyl-tRNA synthetase enzyme, where many distinct electrostatic states play a role, and a histidine and a Mg(2+) ion act as coupled switches that help enforce a strict preference for the aspartate substrate, relative to several analogs. Overall, MDFE has achieved a predictive status, where novel ligands can be studied and molecular recognition elucidated in depth. It should play an increasing role in the analysis of complex cellular processes and biomolecular engineering. 2009 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 19693787     DOI: 10.1002/jmr.980

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


  14 in total

1.  Free-energy calculations for semi-flexible macromolecules: applications to DNA knotting and looping.

Authors:  Stefan M Giovan; Robert G Scharein; Andreas Hanke; Stephen D Levene
Journal:  J Chem Phys       Date:  2014-11-07       Impact factor: 3.488

2.  Structure-based stabilization of insulin as a therapeutic protein assembly via enhanced aromatic-aromatic interactions.

Authors:  Nischay K Rege; Nalinda P Wickramasinghe; Alisar N Tustan; Nelson F B Phillips; Vivien C Yee; Faramarz Ismail-Beigi; Michael A Weiss
Journal:  J Biol Chem       Date:  2018-06-07       Impact factor: 5.157

3.  300-Fold increase in production of the Zn2+-dependent dechlorinase TrzN in soluble form via apoenzyme stabilization.

Authors:  Colin J Jackson; Christopher W Coppin; Paul D Carr; Alexey Aleksandrov; Matthew Wilding; Elena Sugrue; Joanna Ubels; Michael Paks; Janet Newman; Thomas S Peat; Robyn J Russell; Martin Field; Martin Weik; John G Oakeshott; Colin Scott
Journal:  Appl Environ Microbiol       Date:  2014-04-25       Impact factor: 4.792

Review 4.  Alchemical free energy methods for drug discovery: progress and challenges.

Authors:  John D Chodera; David L Mobley; Michael R Shirts; Richard W Dixon; Kim Branson; Vijay S Pande
Journal:  Curr Opin Struct Biol       Date:  2011-02-23       Impact factor: 6.809

5.  Molecular dynamics simulations show that conformational selection governs the binding preferences of imatinib for several tyrosine kinases.

Authors:  Alexey Aleksandrov; Thomas Simonson
Journal:  J Biol Chem       Date:  2010-03-03       Impact factor: 5.157

6.  Combining the polarizable Drude force field with a continuum electrostatic Poisson-Boltzmann implicit solvation model.

Authors:  Alexey Aleksandrov; Fang-Yu Lin; Benoît Roux; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2018-05-08       Impact factor: 3.376

7.  Estimation of relative free energies of binding using pre-computed ensembles based on the single-step free energy perturbation and the site-identification by Ligand competitive saturation approaches.

Authors:  E Prabhu Raman; Sirish Kaushik Lakkaraju; Rajiah Aldrin Denny; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2016-10-26       Impact factor: 3.376

8.  Accurate calculation of mutational effects on the thermodynamics of inhibitor binding to p38α MAP kinase: a combined computational and experimental study.

Authors:  Shun Zhu; Sue M Travis; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-07-09       Impact factor: 6.006

9.  CrystalDock: a novel approach to fragment-based drug design.

Authors:  Jacob D Durrant; Aaron J Friedman; J Andrew McCammon
Journal:  J Chem Inf Model       Date:  2011-10-05       Impact factor: 4.956

10.  Mechanism of Naphthoquinone Selectivity of Thymidylate Synthase ThyX.

Authors:  Hannu Myllykallio; Hubert F Becker; Alexey Aleksandrov
Journal:  Biophys J       Date:  2020-11-18       Impact factor: 4.033

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