Literature DB >> 30996777

Coupling Supervised Molecular Dynamics (SuMD) with Entropy Estimations To Shine Light on the Stability of Multiple Binding Sites.

Shailesh Kumar Panday1,2, Mattia Sturlese2, Veronica Salmaso2, Indira Ghosh1, Stefano Moro2.   

Abstract

Exploring at the molecular level, all possible ligand-protein approaching pathways and, consequently, identifying the energetically favorable binding sites is considered crucial to depict a clear picture of the whole scenario of ligand-protein binding. In fact, a ligand can recognize a protein in multiple binding sites, adopting multiple conformations in every single binding site and inducing protein modifications upon binding. In the present work, we would like to present how it is possible to couple a supervised molecular dynamics (SuMD) approach to explore, from an unbound state, the most energetically favorable recognition pathways of the ligand to its protein, with an enthalpic and entropic characterization of the most stable ligand-protein bound states, using the protein kinase CK2α as a prototype study. We identified two accessory binding pockets surrounding the ATP-binding site having a strong enthalpic contribution but a different configurational entropy contribution, suggesting that they play a different role.

Entities:  

Year:  2019        PMID: 30996777      PMCID: PMC6466520          DOI: 10.1021/acsmedchemlett.8b00490

Source DB:  PubMed          Journal:  ACS Med Chem Lett        ISSN: 1948-5875            Impact factor:   4.345


  17 in total

Review 1.  Calculation of protein-ligand binding affinities.

Authors:  Michael K Gilson; Huan-Xiang Zhou
Journal:  Annu Rev Biophys Biomol Struct       Date:  2007

2.  Structural insight into human CK2alpha in complex with the potent inhibitor ellagic acid.

Authors:  Yusuke Sekiguchi; Tetsuko Nakaniwa; Takayoshi Kinoshita; Isao Nakanishi; Kazuo Kitaura; Akira Hirasawa; Gozoh Tsujimoto; Toshiji Tada
Journal:  Bioorg Med Chem Lett       Date:  2009-04-22       Impact factor: 2.823

3.  Mechanism of the hydrophobic effect in the biomolecular recognition of arylsulfonamides by carbonic anhydrase.

Authors:  Phillip W Snyder; Jasmin Mecinovic; Demetri T Moustakas; Samuel W Thomas; Michael Harder; Eric T Mack; Matthew R Lockett; Annie Héroux; Woody Sherman; George M Whitesides
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-19       Impact factor: 11.205

Review 4.  How druggable is protein kinase CK2?

Authors:  Giorgio Cozza; Andrea Bortolato; Stefano Moro
Journal:  Med Res Rev       Date:  2010-05       Impact factor: 12.944

Review 5.  Molecular determinants of drug-receptor binding kinetics.

Authors:  Albert C Pan; David W Borhani; Ron O Dror; David E Shaw
Journal:  Drug Discov Today       Date:  2013-02-27       Impact factor: 7.851

6.  Supervised molecular dynamics (SuMD) as a helpful tool to depict GPCR-ligand recognition pathway in a nanosecond time scale.

Authors:  Davide Sabbadin; Stefano Moro
Journal:  J Chem Inf Model       Date:  2014-02-03       Impact factor: 4.956

7.  Understanding allosteric interactions in G protein-coupled receptors using Supervised Molecular Dynamics: A prototype study analysing the human A3 adenosine receptor positive allosteric modulator LUF6000.

Authors:  Giuseppe Deganutti; Alberto Cuzzolin; Antonella Ciancetta; Stefano Moro
Journal:  Bioorg Med Chem       Date:  2015-03-20       Impact factor: 3.641

8.  Efficient calculation of molecular configurational entropies using an information theoretic approximation.

Authors:  Bracken M King; Nathaniel W Silver; Bruce Tidor
Journal:  J Phys Chem B       Date:  2012-02-22       Impact factor: 2.991

9.  The CK2 alpha/CK2 beta interface of human protein kinase CK2 harbors a binding pocket for small molecules.

Authors:  Jennifer Raaf; Elena Brunstein; Olaf-Georg Issinger; Karsten Niefind
Journal:  Chem Biol       Date:  2008-02

Review 10.  Binding of small-molecule ligands to proteins: "what you see" is not always "what you get".

Authors:  David L Mobley; Ken A Dill
Journal:  Structure       Date:  2009-04-15       Impact factor: 5.006

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