Evidence map›Paper›PMID 26181208›Full record

ArticleThe journal of physical chemistry. B2015

Toward Improved Force-Field Accuracy through Sensitivity Analysis of Host-Guest Binding Thermodynamics.

Jian Yin, Andrew T Fenley, Niel M Henriksen, Michael K Gilson

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Tuning Potential Functions to Host-Guest Binding Data.Journal of chemical theory and computation · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. DeepBAR: A Fast and Exact Method for Binding Free Energy Computation.The journal of physical chemistry letters · 2021
    Article
  8. Article
  9. Review
  10. Overview of the SAMPL6 host-guest binding affinity prediction challenge.Journal of computer-aided molecular design · 2018
    Article
  11. Article
  12. Bind3P: Optimization of a Water Model Based on Host-Guest Binding Data.Journal of chemical theory and computation · 2018
    Article
  13. Accounting for apparent deviations between calorimetric and van't Hoff enthalpies.Biochimica et biophysica acta. General subjects · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Overview of the SAMPL5 host-guest challenge: Are we doing better?Journal of computer-aided molecular design · 2017
    Review
  20. All-Atom Molecular Dynamics of Virus Capsids as Drug Targets.The journal of physical chemistry letters · 2016
    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

4 authors.

Jian YinSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093-0736, United States.
Andrew T FenleySkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093-0736, United States.
Niel M HenriksenSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093-0736, United States.
Michael K GilsonSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093-0736, United States.

Funding

THEORY AND MODELING OF NONCOVALENT BINDINGR01GM061300 · NIGMS · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI GILSON, MICHAEL K. · 2000 to 2021
$7.2M
NIGMS NIH HHS GM61300NIGMS NIH HHS R01 GM061300
6 · The paper itself

Abstract

Improving the capability of atomistic computer models to predict the thermodynamics of noncovalent binding is critical for successful structure-based drug design, and the accuracy of such calculations remains limited by nonoptimal force field parameters. Ideally, one would incorporate protein-ligand affinity data into force field parametrization, but this would be inefficient and costly. We now demonstrate that sensitivity analysis can be used to efficiently tune Lennard-Jones parameters of aqueous host-guest systems for increasingly accurate calculations of binding enthalpy. These results highlight the promise of a comprehensive use of calorimetric host-guest binding data, along with existing validation data sets, to improve force field parameters for the simulation of noncovalent binding, with the ultimate goal of making protein-ligand modeling more accurate and hence speeding drug discovery.

Indexed as

Drug DesignMolecular Dynamics SimulationProtein BindingBridged-Ring CompoundsCalorimetryCucurbit(n)urilsImidazolesMacrocyclic CompoundsSolventsStructure-Activity RelationshipThermodynamicsWaterBridged-Ring Compoundscucurbit(7)urilCucurbit(n)urilsImidazolesMacrocyclic CompoundsSolventsWater

Identifiers

PMID26181208
PMCPMC4664157

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.