Evidence map›Paper›PMID 24289345›Full record

ArticleThe Journal of chemical physics2013

Origin of parameter degeneracy and molecular shape relationships in geometric-flow calculations of solvation free energies.

Michael D Daily, Jaehun Chun, Alejandro Heredia-Langner, Guowei Wei, Nathan A Baker

Abstract read
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Article in The Journal of chemical physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. A review of mathematical representations of biomolecular data.Physical chemistry chemical physics : PCCP · 2020
    Review
  2. DG-GL: Differential geometry-based geometric learning of molecular datasets.International journal for numerical methods in biomedical engineering · 2019
    Article
  3. Improvements to the APBS biomolecular solvation software suite.Protein science : a publication of the Protein Society · 2018
    Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Michael D DailyFundamental and Computational Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.
Jaehun Chun
Alejandro Heredia-Langner
Guowei Wei
Nathan A Baker

Funding

APBS: NANOSCALE BIOMOLECULAR ELECTROSTATICS SOFTWARER01GM069702 · NIGMS · WASHINGTON UNIVERSITY · PI BAKER, NATHAN A. · 2004 to 2021
$6.2M
Collaborative research: Geometric flow approach to implicit solvation modelingR01GM090208 · NIGMS · MICHIGAN STATE UNIVERSITY · PI WEI, GUOWEI · 2009 to 2014
$1.3M
NIGMS NIH HHS R01 GM069702NIGMS NIH HHS R01 GM090208
6 · The paper itself

Abstract

Implicit solvent models are important tools for calculating solvation free energies for chemical and biophysical studies since they require fewer computational resources but can achieve accuracy comparable to that of explicit-solvent models. In past papers, geometric flow-based solvation models have been established for solvation analysis of small and large compounds. In the present work, the use of realistic experiment-based parameter choices for the geometric flow models is studied. We find that the experimental parameters of solvent internal pressure p = 172 MPa and surface tension γ = 72 mN/m produce solvation free energies within 1 RT of the global minimum root-mean-squared deviation from experimental data over the expanded set. Our results demonstrate that experimental values can be used for geometric flow solvent model parameters, thus eliminating the need for additional parameterization. We also examine the correlations between optimal values of p and γ which are strongly anti-correlated. Geometric analysis of the small molecule test set shows that these results are inter-connected with an approximately linear relationship between area and volume in the range of molecular sizes spanned by the data set. In spite of this considerable degeneracy between the surface tension and pressure terms in the model, both terms are important for the broader applicability of the model.

Indexed as

ThermodynamicsComputer SimulationModels, ChemicalModels, MolecularSolventsSurface TensionSolvents

Identifiers

PMID24289345
PMCPMC3862591

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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.