Literature DB >> 19385614

Large-scale application of high-throughput molecular mechanics with Poisson-Boltzmann surface area for routine physics-based scoring of protein-ligand complexes.

Scott P Brown1, Steven W Muchmore.   

Abstract

We apply a high-throughput formulation of the molecular mechanics with Poisson-Boltzmann surface area (htMM-PBSA) to estimate relative binding potencies on a set of 308 small-molecule ligands in complex with the proteins urokinase, PTP-1B, and Chk-1. We observe statistically significant correlation to experimentally measured potencies and report correlation coefficients for the three proteins in the range 0.72-0.83. The htMM-PBSA calculations illustrate the feasibility of procedural automation of physics-based scoring calculations to produce rank-ordered binding-potency estimates for protein-ligand complexes, with sufficient throughput for realization of practical implementation into scientist workflows in an industrial drug discovery research setting.

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Year:  2009        PMID: 19385614     DOI: 10.1021/jm801444x

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


  31 in total

1.  Exhaustive search and solvated interaction energy (SIE) for virtual screening and affinity prediction.

Authors:  Traian Sulea; Hervé Hogues; Enrico O Purisima
Journal:  J Comput Aided Mol Des       Date:  2011-12-25       Impact factor: 3.686

2.  BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge.

Authors:  Emilio Gallicchio; Haoyuan Chen; He Chen; Michael Fitzgerald; Yang Gao; Peng He; Malathi Kalyanikar; Chuan Kao; Beidi Lu; Yijie Niu; Manasi Pethe; Jie Zhu; Ronald M Levy
Journal:  J Comput Aided Mol Des       Date:  2015-03-01       Impact factor: 3.686

3.  Virtual screening using molecular simulations.

Authors:  Tianyi Yang; Johnny C Wu; Chunli Yan; Yuanfeng Wang; Ray Luo; Michael B Gonzales; Kevin N Dalby; Pengyu Ren
Journal:  Proteins       Date:  2011-04-12

4.  Exhaustive docking and solvated interaction energy scoring: lessons learned from the SAMPL4 challenge.

Authors:  Hervé Hogues; Traian Sulea; Enrico O Purisima
Journal:  J Comput Aided Mol Des       Date:  2014-01-29       Impact factor: 3.686

Review 5.  Protein dynamics via computational microscope.

Authors:  Anton B Guliaev; Senping Cheng; Bo Hang
Journal:  World J Methodol       Date:  2012-12-26

6.  Challenging the gold standard for 3D-QSAR: template CoMFA versus X-ray alignment.

Authors:  Bernd Wendt; Richard D Cramer
Journal:  J Comput Aided Mol Des       Date:  2014-06-17       Impact factor: 3.686

7.  Insight into drug resistance mechanisms and discovery of potential inhibitors against wild-type and L1196M mutant ALK from FDA-approved drugs.

Authors:  Jianzong Li; Wei Liu; Hao Luo; Jinku Bao
Journal:  J Mol Model       Date:  2016-09-01       Impact factor: 1.810

8.  Automated, Accurate, and Scalable Relative Protein-Ligand Binding Free-Energy Calculations Using Lambda Dynamics.

Authors:  E Prabhu Raman; Thomas J Paul; Ryan L Hayes; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2020-11-17       Impact factor: 6.006

Review 9.  Computational approaches for designing potent and selective analogs of peptide toxins as novel therapeutics.

Authors:  Serdar Kuyucak; Raymond S Norton
Journal:  Future Med Chem       Date:  2014-10       Impact factor: 3.808

10.  Physical binding pocket induction for affinity prediction.

Authors:  James J Langham; Ann E Cleves; Russell Spitzer; Daniel Kirshner; Ajay N Jain
Journal:  J Med Chem       Date:  2009-10-08       Impact factor: 7.446

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