HomolWat: a web server tool to incorporate ‘homologous’ water molecules into GPCR structures

Author:

Mayol Eduardo1ORCID,García-Recio Adrián1ORCID,Tiemann Johanna K S23ORCID,Hildebrand Peter W234ORCID,Guixà-González Ramon56ORCID,Olivella Mireia7ORCID,Cordomí Arnau1ORCID

Affiliation:

1. Unitat de Bioestadistica, Facultat de Medicina, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain

2. Institute of Medical Physics and Biophysics, Medical University Leipzig, Leipzig, Sachsen 04107, Germany

3. Institute of Medical Physics and Biophysics, Charité Universitätsmedizin Berlin, Berlin 101179, Germany

4. Berlin Insitute of Health (BIH), 10178 Berlin, Germany

5. Laboratory of Biomolecular Research, Paul Scherrer Institute (PSI), 5232 Villigen PSI, Switzerland

6. Condensed Matter Theory Group, Paul Scherrer Institute (PSI), 5232 Villigen PSI, Switzerland

7. Bioinformatics and Medical Statistics Group, University of Vic-Central University of Catalonia, Barcelona 08500, Spain

Abstract

Abstract Internal water molecules play an essential role in the structure and function of membrane proteins including G protein-coupled receptors (GPCRs). However, technical limitations severely influence the number and certainty of observed water molecules in 3D structures. This may compromise the accuracy of further structural studies such as docking calculations or molecular dynamics simulations. Here we present HomolWat, a web application for incorporating water molecules into GPCR structures by using template-based modelling of homologous water molecules obtained from high-resolution structures. While there are various tools available to predict the positions of internal waters using energy-based methods, the approach of borrowing lacking water molecules from homologous GPCR structures makes HomolWat unique. The tool can incorporate water molecules into a protein structure in about a minute with around 85% of water recovery. The web server is freely available at http://lmc.uab.es/homolwat.

Funder

Ministerio de Ciencia e Innovación

Deutsche Forschungsgemeinschaft

Stiftung Charité

COST

Publisher

Oxford University Press (OUP)

Subject

Genetics

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