Literature DB >> 23260021

Drug design for protein kinases and phosphatases: flexible-receptor docking, binding affinity and specificity, and drug-binding kinetics.

Chung F Wong1, Sneha Bairy.   

Abstract

This article reviews some of our experiences on applying computational techniques to aid the design of drugs targeting protein kinases and phosphatases. It is not a comprehensive review. Rather, it focuses on several less explored approaches or ideas that we have experiences on. It reviews some recent improvements on the Poisson-Boltzmann/Surface Area model for calculating binding affinity and discusses ways to perform calculations that are more tolerant to statistical and systematic errors. Several new ways to incorporate protein flexibility in molecular docking and estimating binding affinity are also discussed. Its discussions also go beyond binding affinity to considering drug-binding kinetics, not only on investigating protein-ligand interactions in isolation, but also on accounting for upstream and downstream influences that can occur in cells, through kinetic modeling of cell signaling. This review also describes a quick molecular simulation method for understanding drug-binding kinetics at the molecular level, with the hope of generating guiding principles for designing drugs with the desired kinetic properties. Sources of drug-binding selectivity that appear obvious but often overlooked are also discussed.

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Year:  2013        PMID: 23260021     DOI: 10.2174/1381612811319260006

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  5 in total

1.  Discrimination between conformational selection and induced fit protein-ligand binding using Integrated Global Fit analysis.

Authors:  Franz-Josef Meyer-Almes
Journal:  Eur Biophys J       Date:  2015-11-04       Impact factor: 1.733

2.  Conformational transition paths harbor structures useful for aiding drug discovery and understanding enzymatic mechanisms in protein kinases.

Authors:  Chung F Wong
Journal:  Protein Sci       Date:  2015-06-22       Impact factor: 6.725

3.  Using machine learning to improve ensemble docking for drug discovery.

Authors:  Tanay Chandak; John P Mayginnes; Howard Mayes; Chung F Wong
Journal:  Proteins       Date:  2020-05-25

4.  A unified approach to the important protein kinase inhibitor balanol and a proposed analogue.

Authors:  Tapan Saha; Ratnava Maitra; Shital K Chattopadhyay
Journal:  Beilstein J Org Chem       Date:  2013-12-19       Impact factor: 2.883

5.  Three-dimensional (3D) structure prediction of the American and African oil-palms β-ketoacyl-[ACP] synthase-II protein by comparative modelling.

Authors:  Edina Wang; Suresh Chinni; Subhash Janardhan Bhore
Journal:  Bioinformation       Date:  2014-03-19
  5 in total

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