Literature DB >> 18800837

Multiple peptide conformations give rise to similar binding affinities: molecular simulations of p53-MDM2.

Shubhra Ghosh Dastidar1, David P Lane, Chandra S Verma.   

Abstract

Molecular dynamics simulations, guided by experimental information (Zondlo et al. Biochemistry 2006, 45, 11945-11957) have been used successfully to reproduce experimental trends in binding affinities of variant p53 peptides with MDM2. Simulations reveal how the conformations of the peptides and the receptor modulate each other to optimize interactions. The conformations of the uncomplexed peptides are governed by a combination of helix and intrinsic disorder (in agreement with experiments), while in the complexed state two very different conformations can coexist. This yields very similar binding affinities, driven by either enthalpy or entropy.

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Year:  2008        PMID: 18800837     DOI: 10.1021/ja804289g

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  36 in total

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Review 4.  Structural dynamics, intrinsic disorder, and allostery in nuclear receptors as transcription factors.

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Journal:  J Biol Chem       Date:  2011-09-21       Impact factor: 5.157

5.  The cis conformation of proline leads to weaker binding of a p53 peptide to MDM2 compared to trans.

Authors:  Yingqian Ada Zhan; F Marty Ytreberg
Journal:  Arch Biochem Biophys       Date:  2015-04-01       Impact factor: 4.013

Review 6.  The structure-based design of Mdm2/Mdmx-p53 inhibitors gets serious.

Authors:  Grzegorz M Popowicz; Alexander Dömling; Tad A Holak
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7.  Efficient Atomistic Simulation of Pathways and Calculation of Rate Constants for a Protein-Peptide Binding Process: Application to the MDM2 Protein and an Intrinsically Disordered p53 Peptide.

Authors:  Matthew C Zwier; Adam J Pratt; Joshua L Adelman; Joseph W Kaus; Daniel M Zuckerman; Lillian T Chong
Journal:  J Phys Chem Lett       Date:  2016-08-22       Impact factor: 6.475

8.  Differences in the transactivation domains of p53 family members: a computational study.

Authors:  Jagadeesh N Mavinahalli; Arumugam Madhumalar; Roger W Beuerman; David P Lane; Chandra Verma
Journal:  BMC Genomics       Date:  2010-02-10       Impact factor: 3.969

Review 9.  Drugging the p53 pathway: understanding the route to clinical efficacy.

Authors:  Kian Hoe Khoo; Khoo Kian Hoe; Chandra S Verma; David P Lane
Journal:  Nat Rev Drug Discov       Date:  2014-03       Impact factor: 84.694

10.  Modulation of p53 binding to MDM2: computational studies reveal important roles of Tyr100.

Authors:  Shubhra Ghosh Dastidar; David P Lane; Chandra S Verma
Journal:  BMC Bioinformatics       Date:  2009-12-03       Impact factor: 3.169

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