Evidence map›Paper›PMID 29308882›Full record

ArticleJournal of chemical information and modeling2018

Prediction of Ordered Water Molecules in Protein Binding Sites from Molecular Dynamics Simulations: The Impact of Ligand Binding on Hydration Networks.

Axel Rudling, Adolfo Orro, Jens Carlsson

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

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0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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  16. Water Networks Repopulate Protein-Ligand Interfaces with Temperature.Angewandte Chemie (International ed. in English) · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Axel RudlingScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University , SE-106 91 Stockholm, Sweden.
Adolfo OrroScience for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University , SE-106 91 Stockholm, Sweden.
Jens CarlssonScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, BMC , Box 596, SE-751 24 Uppsala, Sweden.ORCID 0000-0003-4623-2977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water plays a major role in ligand binding and is attracting increasing attention in structure-based drug design. Water molecules can make large contributions to binding affinity by bridging protein-ligand interactions or by being displaced upon complex formation, but these phenomena are challenging to model at the molecular level. Herein, networks of ordered water molecules in protein binding sites were analyzed by clustering of molecular dynamics (MD) simulation trajectories. Locations of ordered waters (hydration sites) were first identified from simulations of high resolution crystal structures of 13 protein-ligand complexes. The MD-derived hydration sites reproduced 73% of the binding site water molecules observed in the crystal structures. If the simulations were repeated without the cocrystallized ligands, a majority (58%) of the crystal waters in the binding sites were still predicted. In addition, comparison of the hydration sites obtained from simulations carried out in the absence of ligands to those identified for the complexes revealed that the networks of ordered water molecules were preserved to a large extent, suggesting that the locations of waters in a protein-ligand interface are mainly dictated by the protein. Analysis of >1000 crystal structures showed that hydration sites bridged protein-ligand interactions in complexes with different ligands, and those with high MD-derived occupancies were more likely to correspond to experimentally observed ordered water molecules. The results demonstrate that ordered water molecules relevant for modeling of protein-ligand complexes can be identified from MD simulations. Our findings could contribute to development of improved methods for structure-based virtual screening and lead optimization.

Indexed as

Molecular Dynamics SimulationBinding SitesCrystallography, X-RayLigandsProtein BindingProtein ConformationProteinsWaterLigandsProteinsWater

Identifiers

PMID29308882
PMCPMC6716772

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.