Evidence map›Paper›PMID 25766844›Full record

ArticleJournal of computational chemistry2015

LS-VISM: A software package for analysis of biomolecular solvation.

Shenggao Zhou, Li-Tien Cheng, Hui Sun, Jianwei Che, Joachim Dzubiella, Bo Li, J Andrew McCammon

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Hybrid method for representing ions in implicit solvation calculations.Computational and structural biotechnology journal · 2021
    Article
  2. Review
  3. Article
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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

7 authors.

Shenggao ZhouDepartment of Mathematics, University of California, San Diego, La Jolla, California, 92093-0112.
Li-Tien Cheng
Hui Sun
Jianwei Che
Joachim Dzubiella
Bo Li
J Andrew McCammon

Funding

THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Level-Set Variational Implicit-Solvent Approach to Biomolecular InteractionsR01GM096188 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LI, BO · 2010 to 2013
$1.2M
NIGMS NIH HHS R01 GM031749NIGMS NIH HHS R01 GM096188NIGMS NIH HHS R01GM096188
6 · The paper itself

Abstract

We introduce a software package for the analysis of biomolecular solvation. The package collects computer codes that implement numerical methods for a variational implicit-solvent model (VISM). The input of the package includes the atomic data of biomolecules under consideration and the macroscopic parameters such as solute-solvent surface tension, bulk solvent density and ionic concentrations, and the dielectric coefficients. The output includes estimated solvation free energies and optimal macroscopic solute-solvent interfaces that are obtained by minimizing the VISM solvation free-energy functional among all possible solute-solvent interfaces enclosing the solute atoms. We review the VISM with various descriptions of electrostatics. We also review our numerical methods that consist mainly of the level-set method for relaxing the VISM free-energy functional and a compact coupling interface method for the dielectric Poisson-Boltzmann equation. Such numerical methods and algorithms constitute the central modules of the software package. We detail the structure of the package, format of input and output files, workflow of the codes, and the postprocessing of output data. Our demo application to a host-guest system illustrates how to use the package to perform solvation analysis for biomolecules, including ligand-receptor binding systems. The package is simple and flexible with respect to minimum adjustable parameters and a wide range of applications. Future extensions of the package use can include the efficient identification of ligand binding pockets on protein surfaces.

Indexed as

SoftwareBinding SitesLigandsProtein BindingProteinsSolubilitySolutionsThermodynamicsLigandsProteinsSolutionsbiomolecular modelingBoltzmann theorycompact coupling interface methoddielectric boundary forcelevel-set methodPoissonsolvation free energyvariational implicit-solvent model

Identifiers

PMID25766844
PMCPMC4412808

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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.