Advances in the Treatment of Explicit Water Molecules in Docking and Binding Free Energy Calculations.


Journal

Current medicinal chemistry
ISSN: 1875-533X
Titre abrégé: Curr Med Chem
Pays: United Arab Emirates
ID NLM: 9440157

Informations de publication

Date de publication:
2019
Historique:
received: 05 01 2018
revised: 26 02 2018
accepted: 18 04 2018
pubmed: 15 5 2018
medline: 28 1 2020
entrez: 15 5 2018
Statut: ppublish

Résumé

The inclusion of direct effects mediated by water during the ligandreceptor recognition is a hot-topic of modern computational chemistry applied to drug discovery and development. Docking or virtual screening with explicit hydration is still debatable, despite the successful cases that have been presented in the last years. Indeed, how to select the water molecules that will be included in the docking process or how the included waters should be treated remain open questions. In this review, we will discuss some of the most recent methods that can be used in computational drug discovery and drug development when the effect of a single water, or of a small network of interacting waters, needs to be explicitly considered. Here, we analyse the software to aid the selection, or to predict the position, of water molecules that are going to be explicitly considered in later docking studies. We also present software and protocols able to efficiently treat flexible water molecules during docking, including examples of applications. Finally, we discuss methods based on molecular dynamics simulations that can be used to integrate docking studies or to reliably and efficiently compute binding energies of ligands in presence of interfacial or bridging water molecules. Software applications aiding the design of new drugs that exploit water molecules, either as displaceable residues or as bridges to the receptor, are constantly being developed. Although further validation is needed, workflows that explicitly consider water will probably become a standard for computational drug discovery soon.

Sections du résumé

BACKGROUND BACKGROUND
The inclusion of direct effects mediated by water during the ligandreceptor recognition is a hot-topic of modern computational chemistry applied to drug discovery and development. Docking or virtual screening with explicit hydration is still debatable, despite the successful cases that have been presented in the last years. Indeed, how to select the water molecules that will be included in the docking process or how the included waters should be treated remain open questions.
OBJECTIVE OBJECTIVE
In this review, we will discuss some of the most recent methods that can be used in computational drug discovery and drug development when the effect of a single water, or of a small network of interacting waters, needs to be explicitly considered.
RESULTS RESULTS
Here, we analyse the software to aid the selection, or to predict the position, of water molecules that are going to be explicitly considered in later docking studies. We also present software and protocols able to efficiently treat flexible water molecules during docking, including examples of applications. Finally, we discuss methods based on molecular dynamics simulations that can be used to integrate docking studies or to reliably and efficiently compute binding energies of ligands in presence of interfacial or bridging water molecules.
CONCLUSIONS CONCLUSIONS
Software applications aiding the design of new drugs that exploit water molecules, either as displaceable residues or as bridges to the receptor, are constantly being developed. Although further validation is needed, workflows that explicitly consider water will probably become a standard for computational drug discovery soon.

Identifiants

pubmed: 29756561
pii: CMC-EPUB-90369
doi: 10.2174/0929867325666180514110824
doi:

Substances chimiques

Proteins 0
Water 059QF0KO0R

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

7598-7622

Informations de copyright

Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Auteurs

Xiao Hu (X)

Università degli Studi di Milano, Dipartimento di Scienze Farmaceutiche, Sezione di Chimica Generale e Organica "A. Marchesini", Via Venezian, 21 20133 Milano, Italy.

Irene Maffucci (I)

Pasteur, Département de Chimie, École Normale Supérieure, PSL Research University, Sorbonne Universités, UPMC Univ. Paris 06, CNRS, 75005 Paris, France.

Alessandro Contini (A)

Università degli Studi di Milano, Dipartimento di Scienze Farmaceutiche, Sezione di Chimica Generale e Organica "A. Marchesini", Via Venezian, 21 20133 Milano, Italy.

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Classifications MeSH