Literature DB >> 32267975

Exhaustive search of the configurational space of heat-shock protein 90 with its inhibitor by multicanonical molecular dynamics based dynamic docking.

Gert-Jan Bekker1, Mitsugu Araki2, Kanji Oshima3, Yasushi Okuno2, Narutoshi Kamiya4.   

Abstract

Multicanonical molecular dynamics based dynamic docking was used to exhaustively search the configurational space of an inhibitor binding to the N-terminal domain of heat-shock protein 90 (Hsp90). The obtained structures at 300 K cover a wide structural ensemble, with the top two clusters ranked by their free energy coinciding with the native binding site. The representative structure of the most stable cluster reproduced the experimental binding configuration, but an interesting conformational change in Hsp90 could be observed. The combined effects of solvation and ligand binding shift the equilibrium from a preferred loop-in conformation in the unbound state to an α-helical one in the bound state for the flexible lid region of Hsp90. Thus, our dynamic docking method is effective at predicting the native binding site while exhaustively sampling a wide configurational space, modulating the protein structure upon binding.
© 2020 Wiley Periodicals, Inc.

Entities:  

Keywords:  dynamic docking; enhanced conformational sampling; free energy landscape; heat-shock protein 90; multicanonical Molecular Dynamics

Mesh:

Substances:

Year:  2020        PMID: 32267975     DOI: 10.1002/jcc.26203

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  5 in total

1.  Dynamic Docking Using Multicanonical Molecular Dynamics: Simulating Complex Formation at the Atomistic Level.

Authors:  Gert-Jan Bekker; Narutoshi Kamiya
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Heat Shock Protein 90 (HSP90) Inhibitors as Anticancer Medicines: A Review on the Computer-Aided Drug Discovery Approaches over the Past Five Years.

Authors:  Ayanda M Magwenyane; Samuel C Ugbaja; Daniel G Amoako; Anou M Somboro; Rene B Khan; Hezekiel M Kumalo
Journal:  Comput Math Methods Med       Date:  2022-05-31       Impact factor: 2.809

3.  Cyclosporin A: Conformational Complexity and Chameleonicity.

Authors:  Satoshi Ono; Matthew R Naylor; Chad E Townsend; Chieko Okumura; Okimasa Okada; Hsiau-Wei Lee; R Scott Lokey
Journal:  J Chem Inf Model       Date:  2021-10-21       Impact factor: 6.162

4.  Cryptic-site binding mechanism of medium-sized Bcl-xL inhibiting compounds elucidated by McMD-based dynamic docking simulations.

Authors:  Gert-Jan Bekker; Ikuo Fukuda; Junichi Higo; Yoshifumi Fukunishi; Narutoshi Kamiya
Journal:  Sci Rep       Date:  2021-03-03       Impact factor: 4.379

Review 5.  From Data to Knowledge: Systematic Review of Tools for Automatic Analysis of Molecular Dynamics Output.

Authors:  Hanna Baltrukevich; Sabina Podlewska
Journal:  Front Pharmacol       Date:  2022-03-10       Impact factor: 5.810

  5 in total

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