Literature DB >> 22955422

Computational study of EGFR inhibition: molecular dynamics studies on the active and inactive protein conformations.

Napat Songtawee1, M Paul Gleeson, Kiattawee Choowongkomon.   

Abstract

The structural diversity observed across protein kinases, resulting in subtly different active site cavities, is highly desirable in the pursuit of selective inhibitors, yet it can also be a hindrance from a structure-based design perspective. An important challenge in structure-based design is to better understand the dynamic nature of protein kinases and the underlying reasons for specific conformational preferences in the presence of different inhibitors. To investigate this issue, we performed molecular dynamics simulation on both the active and inactive wild type epidermal growth factor receptor (EGFR) protein with both type-I and type-II inhibitors. Our goal is to better understand the origin of the two distinct EGFR protein conformations, their dynamic differences, and their relative preference for Type-I inhibitors such as gefitinib and Type-II inhibitors such as lapatinib. We discuss the implications of protein dynamics from a structure-based design perspective.

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Year:  2012        PMID: 22955422     DOI: 10.1007/s00894-012-1559-0

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  35 in total

Review 1.  The protein kinase complement of the human genome.

Authors:  G Manning; D B Whyte; R Martinez; T Hunter; S Sudarsanam
Journal:  Science       Date:  2002-12-06       Impact factor: 47.728

2.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

3.  Exploring the helix-coil transition via all-atom equilibrium ensemble simulations.

Authors:  Eric J Sorin; Vijay S Pande
Journal:  Biophys J       Date:  2005-01-21       Impact factor: 4.033

4.  Automatic atom type and bond type perception in molecular mechanical calculations.

Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
Journal:  J Mol Graph Model       Date:  2006-02-03       Impact factor: 2.518

5.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

6.  Ligand binding affinity prediction by linear interaction energy methods.

Authors:  T Hansson; J Marelius; J Aqvist
Journal:  J Comput Aided Mol Des       Date:  1998-01       Impact factor: 3.686

7.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

8.  Rapid and accurate ranking of binding affinities of epidermal growth factor receptor sequences with selected lung cancer drugs.

Authors:  Shunzhou Wan; Peter V Coveney
Journal:  J R Soc Interface       Date:  2011-01-12       Impact factor: 4.118

9.  Conformational dynamics of the EGFR kinase domain reveals structural features involved in activation.

Authors:  Athanasios Papakyriakou; Dionisios Vourloumis; Fotini Tzortzatou-Stathopoulou; Michael Karpusas
Journal:  Proteins       Date:  2009-08-01

10.  Exploiting ordered waters in molecular docking.

Authors:  Niu Huang; Brian K Shoichet
Journal:  J Med Chem       Date:  2008-08-05       Impact factor: 7.446

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  5 in total

1.  Computational and Experimental Characterization of Patient Derived Mutations Reveal an Unusual Mode of Regulatory Spine Assembly and Drug Sensitivity in EGFR Kinase.

Authors:  Zheng Ruan; Samiksha Katiyar; Natarajan Kannan
Journal:  Biochemistry       Date:  2016-12-22       Impact factor: 3.162

Review 2.  Structure-function relationships of ErbB RTKs in the plasma membrane of living cells.

Authors:  Donna J Arndt-Jovin; Michelle G Botelho; Thomas M Jovin
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-04-01       Impact factor: 10.005

3.  Coarse-grained molecular simulation of epidermal growth factor receptor protein tyrosine kinase multi-site self-phosphorylation.

Authors:  John G Koland
Journal:  PLoS Comput Biol       Date:  2014-01-16       Impact factor: 4.475

4.  Molecular modeling, dynamics simulations, and binding efficiency of berberine derivatives: A new group of RAF inhibitors for cancer treatment.

Authors:  Parham Jabbarzadeh Kaboli; Patimah Ismail; King-Hwa Ling
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

5.  Discovery of Novel Human Epidermal Growth Factor Receptor-2 Inhibitors by Structure-based Virtual Screening.

Authors:  Zheng Shi; Tian Yu; Rong Sun; Shan Wang; Xiao-Qian Chen; Li-Jia Cheng; Rong Liu
Journal:  Pharmacogn Mag       Date:  2016 Apr-Jun       Impact factor: 1.085

  5 in total

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