Evidence map›Paper›PMID 36820489›Full record

ArticleJournal of chemical theory and computation2023

Heterogeneous and Allosteric Role of Surface Hydration for Protein-Ligand Binding.

Jie Shi, Jae-Hyun Cho, Wonmuk Hwang

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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.

Jie ShiDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 777843, United States.ORCID 0000-0001-5053-4332
Jae-Hyun ChoDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0002-6190-6151
Wonmuk HwangDepartment of Biomedical Engineering, Texas A&M University, College Station, Texas 77843, United States.ORCID 0000-0001-7514-3186

Funding

Protein Production CoreP01AI143565 · NIAID · DANA-FARBER CANCER INST · PI Matthew J. Lang, ELLIS L REINHERZ · 2020 to 2026
$19.9M
Understanding the structural basis of T cell receptor (TCR) and preTCR mechanosensing: single molecule, NMR and molecular dynamics studiesR01AI136301 · NIAID · VANDERBILT UNIVERSITY · PI LANG, MATTHEW J. · 2018 to 2022
$3.9M
Structure and functional dynamics of virus-host protein interactionsR01GM127723 · NIGMS · TEXAS A&M AGRILIFE RESEARCH · PI CHO, JAE HYUN · 2018 to 2022
$1.9M
NIAID NIH HHS P01 AI143565NIAID NIH HHS R01 AI136301NIGMS NIH HHS R01 GM127723
6 · The paper itself

Abstract

Atomistic-level understanding of surface hydration mediating protein-protein interactions and ligand binding has been a challenge due to the dynamic nature of water molecules near the surface. We develop a computational method to evaluate the solvation free energy based on the density map of the first hydration shell constructed from all-atom molecular dynamics simulation and use it to examine the binding of two intrinsically disordered ligands to their target protein domain. One ligand is from the human protein, and the other is from the 1918 Spanish flu virus. We find that the viral ligand incurs a 6.9 kcal/mol lower desolvation penalty upon binding to the target, which is consistent with its stronger binding affinity. The difference arises from the spatially fragmented and nonuniform water density profiles of the first hydration shell. In particular, residues that are distal from the ligand-binding site contribute to a varying extent to the desolvation penalty, among which the "entropy hotspot" residues contribute significantly. Thus, ligand binding alters hydration on remote sites in addition to affecting the binding interface. The nonlocal effect disappears when the conformational motion of the protein is suppressed. The present results elucidate the interplay between protein conformational dynamics and surface hydration. Our approach of measuring the solvation free energy based on the water density of the first hydration shell is tolerant of the conformational fluctuation of protein, and we expect it to be applicable to investigating a broad range of biomolecular interfaces.

Indexed as

Influenza Pandemic, 1918-1919Binding SitesHumansLigandsMolecular Dynamics SimulationProtein BindingProteinsThermodynamicsWaterLigandsProteinsWater

Identifiers

PMID36820489
PMCPMC10848206

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Registered trials

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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.