Literature DB >> 29193885

AquaMMapS: An Alternative Tool to Monitor the Role of Water Molecules During Protein-Ligand Association.

Alberto Cuzzolin1, Giuseppe Deganutti1, Veronica Salmaso1, Mattia Sturlese1, Stefano Moro1.   

Abstract

Unquestionably, water appears to be an active player in the noncovalent protein-ligand binding process, as it can either bridge interactions between protein and ligand or can be replaced by the bound ligand. Accordingly, in the last decade, alternative computational methodologies have been sought with the aim of predicting the position and thermodynamic profile of water molecules (i.e., hydration sites) in the binding site using either the ligand-bound or ligand-free protein conformation. Herein, we present an alternative approach, named AquaMMapS, that provides a three-dimensional sampling of putative hydration sites. Interestingly, AquaMMapS can post-inspect molecular dynamics (MD) trajectories obtained from different MD engines using indifferently crystallographic or docking-driven structures as a starting point. Moreover, AquaMMapS is naturally integrated into supervised molecular dynamics (SuMD) simulations, presenting the possibility to inspect hydration sites during the ligand-protein association process. Finally, a penalty scoring method, named AquaMMapScoring(AMS), was developed to evaluate the number and nature of the water molecules displaced by a ligand approaching its binding site during the binding event, guiding a medicinal chemist to explore the most suitable regions of a ligand that can be decorated either with or without interfering with the interaction networks mediated by water molecules with specific recognition regions of the protein.
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  AquaMMapS; adenosine receptors; drug design; molecular dynamics; protein kinase CK2

Mesh:

Substances:

Year:  2018        PMID: 29193885     DOI: 10.1002/cmdc.201700564

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  9 in total

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3.  Ribose and Non-Ribose A2A Adenosine Receptor Agonists: Do They Share the Same Receptor Recognition Mechanism?

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Review 4.  In Silico Drug Design for Purinergic GPCRs: Overview on Molecular Dynamics Applied to Adenosine and P2Y Receptors.

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5.  New Insights into Key Determinants for Adenosine 1 Receptor Antagonists Selectivity Using Supervised Molecular Dynamics Simulations.

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Review 6.  Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview.

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Journal:  J Chem Inf Model       Date:  2020-10-29       Impact factor: 4.956

9.  Comparing Fragment Binding Poses Prediction Using HSP90 as a Key Study: When Bound Water Makes the Difference.

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  9 in total

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