Evidence map›Paper›PMID 29484300›Full record

ReviewFrontiers in molecular biosciences2018

Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly.

Clarisse Gravina Ricci, Bo Li, Li-Tien Cheng, Joachim Dzubiella, J Andrew McCammon

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in molecular biosciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Short solvent model for ion correlations and hydrophobic association.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. 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

5 authors.

Clarisse Gravina RicciDepartment of Pharmacology and Department of Chemistry and Biochemistry, National Biomedical Computation Resource, University of California, San Diego, La Jolla, CA, United States.
Bo LiDepartment of Mathematics, University of California, San Diego, La Jolla, CA, United States.
Li-Tien ChengDepartment of Mathematics, University of California, San Diego, La Jolla, CA, United States.
Joachim DzubiellaInstitut für Physik, Humboldt-Universität zu Berlin, Berlin, Germany.
J Andrew McCammonDepartment of Pharmacology and Department of Chemistry and Biochemistry, National Biomedical Computation Resource, University of California, San Diego, La Jolla, CA, United States.

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

Predicting solvation free energies and describing the complex water behavior that plays an important role in essentially all biological processes is a major challenge from the computational standpoint. While an atomistic, explicit description of the solvent can turn out to be too expensive in large biomolecular systems, most implicit solvent methods fail to capture "dewetting" effects and heterogeneous hydration by relying on a pre-established (i.e.,

Indexed as

bindingimplicit solvationmolecular recognitionsolvationsolvation free energysolvation free energy of bindingsolvent modelVISM

Identifiers

PMID29484300
PMCPMC5816062

What OpenQuestion holds

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Registered trials

None linked

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.