Literature DB >> 29177665

Computational Modeling of the Hsp90 Interactions with Cochaperones and Small-Molecule Inhibitors.

Gennady M Verkhivker1,2.   

Abstract

Allosteric interactions of the molecular chaperone Hsp90 with a diverse array of cochaperones and client proteins, such as protein kinases and transcription factors, allow for efficient molecular communication in signal transduction networks. Deregulation of pathways involving these proteins is commonly associated with cancer pathologies and allosteric inhibition of oncogenic clients by targeting Hsp90 provides a powerful therapeutic strategy in cancer research. We review several validated computational approaches and tools used in the studies of the Hsp90 interactions with proteins and small molecules. These methods include experimentally guided docking to predict Hs90-protein interactions, molecular and binding free energy simulations to analyze Hsp90 binding with small molecules, and structure-based network modeling to evaluate allosteric interactions and communications in the Hsp90 regulatory complexes. Through the lens of allosteric-centric view on Hsp90 function and regulation, we discuss newly emerging computational tools that link protein structure modeling with biophysical simulations and network-based systems biology approaches.

Entities:  

Keywords:  Binding free energy simulations; Cochaperones; Drug discovery; Experimentally guided protein docking; Hsp90 chaperone; Protein client interactions; Protein structure network analysis; Protein-ligand interactions; Small-molecule inhibitors; Systems biology

Mesh:

Substances:

Year:  2018        PMID: 29177665     DOI: 10.1007/978-1-4939-7477-1_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Identification of Allosteric Effects in Proteins by Elastic Network Models.

Authors:  Guang Hu
Journal:  Methods Mol Biol       Date:  2021

2.  gRINN: a tool for calculation of residue interaction energies and protein energy network analysis of molecular dynamics simulations.

Authors:  Onur Serçinoglu; Pemra Ozbek
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

3.  Presence and structure-activity relationship of intrinsically disordered regions across mucins.

Authors:  Joseph Carmicheal; Pranita Atri; Sunandini Sharma; Sushil Kumar; Ramakanth Chirravuri Venkata; Prakash Kulkarni; Ravi Salgia; Dario Ghersi; Sukhwinder Kaur; Surinder K Batra
Journal:  FASEB J       Date:  2020-01-05       Impact factor: 5.191

Review 4.  Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning.

Authors:  Gennady M Verkhivker; Steve Agajanian; Guang Hu; Peng Tao
Journal:  Front Mol Biosci       Date:  2020-07-09
  4 in total

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