Literature DB >> 26579911

Monte Carlo Free Ligand Diffusion with Markov State Model Analysis and Absolute Binding Free Energy Calculations.

Ryoji Takahashi1, Víctor A Gil1, Victor Guallar1,2.   

Abstract

Obtaining absolute binding free energies from unbiased ligand diffusion has attracted a significant amount of attention due to its implications in drug design. Several studies have used special purpose computers and software to achieve microsecond molecular dynamics which, combined with a Markov state model analysis, are capable of providing absolute binding free energies. We have recently developed a Monte Carlo based technique, PELE, capable of performing a dynamical exploration of the protein-ligand energy landscape including free ligand diffusion into the active site, at a fraction of the computational cost of molecular dynamics techniques. We demonstrate here the capabilities of our Monte Carlo technique in obtaining absolute binding free energies for a series of benzamidine like inhibitors into trypsin. Our results are in good agreement with experimental data and other molecular dynamics simulations, indicating that PELE can be a useful tool for quick estimates of binding free energies and mechanisms.

Entities:  

Year:  2013        PMID: 26579911     DOI: 10.1021/ct400678g

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


  11 in total

1.  Multiple Ligand Unbinding Pathways and Ligand-Induced Destabilization Revealed by WExplore.

Authors:  Alex Dickson; Samuel D Lotz
Journal:  Biophys J       Date:  2017-02-28       Impact factor: 4.033

2.  Exploring Binding Mechanisms in Nuclear Hormone Receptors by Monte Carlo and X-ray-derived Motions.

Authors:  Christoph Grebner; Daniel Lecina; Victor Gil; Johan Ulander; Pia Hansson; Anita Dellsen; Christian Tyrchan; Karl Edman; Anders Hogner; Victor Guallar
Journal:  Biophys J       Date:  2017-03-28       Impact factor: 4.033

3.  Unveiling prolyl oligopeptidase ligand migration by comprehensive computational techniques.

Authors:  Martin Kotev; Daniel Lecina; Teresa Tarragó; Ernest Giralt; Víctor Guallar
Journal:  Biophys J       Date:  2015-01-06       Impact factor: 4.033

4.  Computing Protein-Protein Association Affinity with Hybrid Steered Molecular Dynamics.

Authors:  Roberto A Rodriguez; Lili Yu; Liao Y Chen
Journal:  J Chem Theory Comput       Date:  2015-09-08       Impact factor: 6.006

5.  Conformational response to ligand binding in phosphomannomutase2: insights into inborn glycosylation disorder.

Authors:  Giuseppina Andreotti; Israel Cabeza de Vaca; Angelita Poziello; Maria Chiara Monti; Victor Guallar; Maria Vittoria Cubellis
Journal:  J Biol Chem       Date:  2014-10-16       Impact factor: 5.157

6.  The unravelling of the complex pattern of tyrosinase inhibition.

Authors:  Batel Deri; Margarita Kanteev; Mor Goldfeder; Daniel Lecina; Victor Guallar; Noam Adir; Ayelet Fishman
Journal:  Sci Rep       Date:  2016-10-11       Impact factor: 4.379

7.  A mutant of phosphomannomutase1 retains full enzymatic activity, but is not activated by IMP: Possible implications for the disease PMM2-CDG.

Authors:  Valentina Citro; Chiara Cimmaruta; Ludovica Liguori; Gaetano Viscido; Maria Vittoria Cubellis; Giuseppina Andreotti
Journal:  PLoS One       Date:  2017-12-19       Impact factor: 3.240

8.  Adaptive simulations, towards interactive protein-ligand modeling.

Authors:  Daniel Lecina; Joan F Gilabert; Victor Guallar
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

9.  Differential control of heme reactivity in alpha and beta subunits of hemoglobin: a combined Raman spectroscopic and computational study.

Authors:  Eric M Jones; Emanuele Monza; Gurusamy Balakrishnan; George C Blouin; Piotr J Mak; Qianhong Zhu; James R Kincaid; Victor Guallar; Thomas G Spiro
Journal:  J Am Chem Soc       Date:  2014-07-14       Impact factor: 15.419

10.  A Self-Adaptive Steered Molecular Dynamics Method Based on Minimization of Stretching Force Reveals the Binding Affinity of Protein-Ligand Complexes.

Authors:  Junfeng Gu; Hongxia Li; Xicheng Wang
Journal:  Molecules       Date:  2015-10-22       Impact factor: 4.411

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