Evidence map›Paper›PMID 31270236›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Variational implicit-solvent predictions of the dry-wet transition pathways for ligand-receptor binding and unbinding kinetics.

Shenggao Zhou, R Gregor Weiß, Li-Tien Cheng, Joachim Dzubiella, J Andrew McCammon, Bo Li

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Hybrid method for representing ions in implicit solvation calculations.Computational and structural biotechnology journal · 2021
    Article
  5. Short solvent model for ion correlations and hydrophobic association.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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

6 authors.

Shenggao ZhouDepartment of Mathematics, Soochow University, Suzhou 215006, Jiangsu, China.
R Gregor WeißLaboratory of Physical Chemistry, Eidgenössische Technische Hochschule Zürich, CH-8093 Zürich, Switzerland.
Li-Tien ChengDepartment of Mathematics, University of California San Diego, La Jolla, CA 92093-0112.
Joachim DzubiellaPhysikalisches Institut, Albert-Ludwigs-Universität Freiburg, 79104 Freiburg, Germany.
J Andrew McCammonDepartment of Chemistry and Biochemistry, Department of Pharmacology, University of California San Diego, La Jolla, CA 92093-0340 jmccammon@ucsd.edu bli@math.ucsd.edu.
Bo LiDepartment of Mathematics, University of California San Diego, La Jolla, CA 92093-0112; jmccammon@ucsd.edu bli@math.ucsd.edu.ORCID 0000-0002-9183-4654

Funding

THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
NIGMS NIH HHS R01 GM031749
6 · The paper itself

Abstract

Ligand-receptor binding and unbinding are fundamental biomolecular processes and particularly essential to drug efficacy. Environmental water fluctuations, however, impact the corresponding thermodynamics and kinetics and thereby challenge theoretical descriptions. Here, we devise a holistic, implicit-solvent, multimethod approach to predict the (un)binding kinetics for a generic ligand-pocket model. We use the variational implicit-solvent model (VISM) to calculate the solute-solvent interfacial structures and the corresponding free energies, and combine the VISM with the string method to obtain the minimum energy paths and transition states between the various metastable ("dry" and "wet") hydration states. The resulting dry-wet transition rates are then used in a spatially dependent multistate continuous-time Markov chain Brownian dynamics simulation and the related Fokker-Planck equation calculations of the ligand stochastic motion, providing the mean first-passage times for binding and unbinding. We find the hydration transitions to significantly slow down the binding process, in semiquantitative agreement with existing explicit-water simulations, but significantly accelerate the unbinding process. Moreover, our methods allow the characterization of nonequilibrium hydration states of pocket and ligand during the ligand movement, for which we find substantial memory and hysteresis effects for binding vs. unbinding. Our study thus provides a significant step forward toward efficient, physics-based interpretation and predictions of the complex kinetics in realistic ligand-receptor systems.

Indexed as

Molecular Docking SimulationMolecular Dynamics SimulationProtein ConformationHydrophobic and Hydrophilic InteractionsKineticsLigandsProtein BindingSolventsLigandsSolventsdry–wet transitionslevel-set methodligand–receptor binding/unbinding kineticsstring methodvariational implicit-solvent model

Identifiers

PMID31270236
PMCPMC6660732

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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.