Literature DB >> 31538783

Ligand Binding, Unbinding, and Allosteric Effects: Deciphering Small-Molecule Modulation of HSP90.

Ilda D'Annessa1, Stefano Raniolo2, Vittorio Limongelli2,3, Daniele Di Marino2,4, Giorgio Colombo1,5.   

Abstract

The molecular chaperone HSP90 oversees the functional activation of a large number of client proteins. Because of its role in multiple pathways linked to cancer and neurodegeneration, drug discovery targeting HSP90 has been actively pursued. Yet, a number of inhibitors failed to meet expectations due to induced toxicity problems. In this context, allosteric perturbation has emerged as an alternative strategy for the pharmacological modulation of HSP90 functions. Specifically, novel allosteric stimulators showed the interesting capability of accelerating HSP90 closure dynamics and ATPase activities while inducing tumor cell death. Here, we gain atomistic insight into the mechanisms of allosteric ligand recognition and their consequences on the functional dynamics of HSP90, starting from the fully unbound state. We integrate advanced computational sampling methods based on FunnelMetadynamics, with the analysis of internal dynamics of the structural ensembles visited during the simulations. We observe several binding/unbinding events, and from these, we derive an accurate estimation of the absolute binding free energy. Importantly, we show that different binding poses induce different dynamics states. Our work for the first time explicitly correlates HSP90 responses to binding/unbinding of an allosteric ligand to the modulation of functionally oriented protein motions.

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Year:  2019        PMID: 31538783     DOI: 10.1021/acs.jctc.9b00319

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  11 in total

1.  Ligand binding free-energy calculations with funnel metadynamics.

Authors:  Stefano Raniolo; Vittorio Limongelli
Journal:  Nat Protoc       Date:  2020-08-19       Impact factor: 13.491

Review 2.  New perspectives in cancer drug development: computational advances with an eye to design.

Authors:  Matteo Castelli; Stefano A Serapian; Filippo Marchetti; Alice Triveri; Valentina Pirota; Luca Torielli; Simona Collina; Filippo Doria; Mauro Freccero; Giorgio Colombo
Journal:  RSC Med Chem       Date:  2021-07-07

3.  Machine Learning Prediction of Allosteric Drug Activity from Molecular Dynamics.

Authors:  Filippo Marchetti; Elisabetta Moroni; Alessandro Pandini; Giorgio Colombo
Journal:  J Phys Chem Lett       Date:  2021-04-12       Impact factor: 6.475

Review 4.  Bioinformatics and Biosimulations as Toolbox for Peptides and Peptidomimetics Design: Where Are We?

Authors:  Ilda D'Annessa; Francesco Saverio Di Leva; Anna La Teana; Ettore Novellino; Vittorio Limongelli; Daniele Di Marino
Journal:  Front Mol Biosci       Date:  2020-05-05

5.  Population Dynamics and Structural Effects at Short and Long Range Support the Hypothesis of the Selective Advantage of the G614 SARS-CoV-2 Spike Variant.

Authors:  Emiliano Trucchi; Paolo Gratton; Fabrizio Mafessoni; Stefano Motta; Francesco Cicconardi; Filippo Mancia; Giorgio Bertorelle; Ilda D'Annessa; Daniele Di Marino
Journal:  Mol Biol Evol       Date:  2021-05-04       Impact factor: 16.240

6.  Perspectives on High-Throughput Ligand/Protein Docking With Martini MD Simulations.

Authors:  Paulo C T Souza; Vittorio Limongelli; Sangwook Wu; Siewert J Marrink; Luca Monticelli
Journal:  Front Mol Biosci       Date:  2021-03-29

7.  Establishing Computational Approaches Towards Identifying Malarial Allosteric Modulators: A Case Study of Plasmodium falciparum Hsp70s.

Authors:  Arnold Amusengeri; Lindy Astl; Kevin Lobb; Gennady M Verkhivker; Özlem Tastan Bishop
Journal:  Int J Mol Sci       Date:  2019-11-08       Impact factor: 5.923

8.  Genomic Signature of Shifts in Selection in a Subalpine Ant and Its Physiological Adaptations.

Authors:  Francesco Cicconardi; Patrick Krapf; Ilda D'Annessa; Alexander Gamisch; Herbert C Wagner; Andrew D Nguyen; Evan P Economo; Alexander S Mikheyev; Benoit Guénard; Reingard Grabherr; Philipp Andesner; Arthofer Wolfgang; Daniele Di Marino; Florian M Steiner; Birgit C Schlick-Steiner
Journal:  Mol Biol Evol       Date:  2020-08-01       Impact factor: 16.240

9.  Discovery of Novel Hsp90 C-Terminal Inhibitors Using 3D-Pharmacophores Derived from Molecular Dynamics Simulations.

Authors:  Tihomir Tomašič; Martina Durcik; Bradley M Keegan; Darja Gramec Skledar; Živa Zajec; Brian S J Blagg; Sharon D Bryant
Journal:  Int J Mol Sci       Date:  2020-09-20       Impact factor: 5.923

10.  Mechanistic Model for the Hsp90-Driven Opening of Human Argonaute.

Authors:  Silvia Rinaldi; Giorgio Colombo; Antonella Paladino
Journal:  J Chem Inf Model       Date:  2020-03-03       Impact factor: 4.956

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