Literature DB >> 11585447

Are free energy calculations useful in practice? A comparison with rapid scoring functions for the p38 MAP kinase protein system.

D A Pearlman1, P S Charifson.   

Abstract

Precise thermodynamic integration free energy simulations have been applied to a congeneric series of 16 inhibitors to the p38 MAP kinase protein for which the experimental binding data (IC(50)) is known. The relative free energy of binding for each compound has been determined. For comparison, the same series of compounds have also scored using the best rapid scoring functions used in database screening. From the results of these calculations, we find (1) that precise free energy simulations allow predictions that are reliable and in good agreement with experiment; (2) that predictions of lower reliability, but still in good qualitative agreement with experiment, can be obtained using the OWFEG free energy grid method, at a much lower computational cost; (3) and that other methods, not based on free energy simulations yield results in much poorer agreement with experiment. A new predictive index, which measures the reliability of a prediction method in the context of normal use, is defined and calculated for each scoring method. Predictive indices of 0.84, 0.56, 0.04, -0.05, and 0.25 are calculated for thermodynamic integration, OWFEG, ChemScore, PLPScore, and Dock Energy Score, respectively, where +1.0 is perfect correct prediction, -1.0 is perfect incorrect prediction, and 0.0 is random.

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Year:  2001        PMID: 11585447     DOI: 10.1021/jm0100279

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  51 in total

1.  Effects of Water Placement on Predictions of Binding Affinities for p38α MAP Kinase Inhibitors.

Authors:  James Luccarelli; Julien Michel; Julian Tirado-Rives; William L Jorgensen
Journal:  J Chem Theory Comput       Date:  2010-01-01       Impact factor: 6.006

2.  Scoring protein-protein docked structures based on the balance and tightness of binding.

Authors:  Y H Yu; B Z Lu; J G Han; P F Zhang
Journal:  J Comput Aided Mol Des       Date:  2004-04       Impact factor: 3.686

3.  Can we use docking and scoring for hit-to-lead optimization?

Authors:  Istvan J Enyedy; William J Egan
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 3.686

4.  Calculate protein-ligand binding affinities with the extended linear interaction energy method: application on the Cathepsin S set in the D3R Grand Challenge 3.

Authors:  Xibing He; Viet H Man; Beihong Ji; Xiang-Qun Xie; Junmei Wang
Journal:  J Comput Aided Mol Des       Date:  2018-09-14       Impact factor: 3.686

5.  Cyclopropyl-containing positive allosteric modulators of metabotropic glutamate receptor subtype 5.

Authors:  Sirish K Lakkaraju; Hannah Mbatia; Marie Hanscom; Zaorui Zhao; Junfang Wu; Bogdan Stoica; Alexander D MacKerell; Alan I Faden; Fengtian Xue
Journal:  Bioorg Med Chem Lett       Date:  2015-04-20       Impact factor: 2.823

6.  Beware of R(2): Simple, Unambiguous Assessment of the Prediction Accuracy of QSAR and QSPR Models.

Authors:  D L J Alexander; A Tropsha; David A Winkler
Journal:  J Chem Inf Model       Date:  2015-07-09       Impact factor: 4.956

7.  Computation of relative binding free energy for an inhibitor and its analogs binding with Erk kinase using thermodynamic integration MD simulation.

Authors:  Kuan-Wei Wu; Po-Chin Chen; Jun Wang; Ying-Chieh Sun
Journal:  J Comput Aided Mol Des       Date:  2012-09-18       Impact factor: 3.686

8.  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

9.  Evaluation of different virtual screening programs for docking in a charged binding pocket.

Authors:  Wei Deng; Christophe L M J Verlinde
Journal:  J Chem Inf Model       Date:  2008-09-27       Impact factor: 4.956

10.  High-performance drug discovery: computational screening by combining docking and molecular dynamics simulations.

Authors:  Noriaki Okimoto; Noriyuki Futatsugi; Hideyoshi Fuji; Atsushi Suenaga; Gentaro Morimoto; Ryoko Yanai; Yousuke Ohno; Tetsu Narumi; Makoto Taiji
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

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