Evidence map›Paper›PMID 26256816›Full record

ArticleJournal of molecular recognition : JMR2016

Parameterization of an effective potential for protein-ligand binding from host-guest affinity data.

Lauren Wickstrom, Nanjie Deng, Peng He, Ahmet Mentes, Crystal Nguyen, Michael K Gilson, Tom Kurtzman, Emilio Gallicchio, Ronald M Levy

Abstract read
In one paragraph

Article in Journal of molecular recognition : JMR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Free Energy Density of a Fluid and Its Role in Solvation and Binding.Journal of chemical theory and computation · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Overview of the SAMPL5 host-guest challenge: Are we doing better?Journal of computer-aided molecular design · 2017
    Review
  20. 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

9 authors.

Lauren WickstromBorough of Manhattan Community College, Department of Science, The City University of New York, New York, NY, 10007, USA.
Nanjie DengCenter for Biophysics and Computational Biology/ICMS, Department of Chemistry, Temple University, Philadelphia, PA, 19122, USA.
Peng HeCenter for Biophysics and Computational Biology/ICMS, Department of Chemistry, Temple University, Philadelphia, PA, 19122, USA.
Ahmet MentesCenter for Biophysics and Computational Biology/ICMS, Department of Chemistry, Temple University, Philadelphia, PA, 19122, USA.
Crystal NguyenSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093-0736, USA.
Michael K GilsonSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093-0736, USA.
Tom KurtzmanDepartment of Chemistry, Lehman College, The City University of New York, Bronx, NY, 10468, USA.
Emilio GallicchioDepartment of Chemistry, Brooklyn College, The City University of New York, Brooklyn, NY, 11210, USA.
Ronald M LevyCenter for Biophysics and Computational Biology/ICMS, Department of Chemistry, Temple University, Philadelphia, PA, 19122, USA.

Funding

THEORY AND MODELING OF NONCOVALENT BINDINGR01GM061300 · NIGMS · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI GILSON, MICHAEL K. · 2000 to 2021
$7.2M
DYNAMICS OF PEPTIDES AND PROTEINSR01GM030580 · NIGMS · TEMPLE UNIV OF THE COMMONWEALTH · PI LEVY, RONALD · 1985 to 2018
$6.1M
Accounting for Water Structure and Thermodynamics in Computer-Aided Drug DesignR01GM100946 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KURTZMAN, THOMAS PHILIP · 2013 to 2021
$2.7M
Solvation Directed Design of Flavonoid Derivatives for Caspase InhibitionSC3GM095417 · NIGMS · HERBERT H. LEHMAN COLLEGE · PI KURTZMAN, THOMAS PHILIP · 2012 to 2020
$948k
NIGMS NIH HHS GM095417NIGMS NIH HHS GM100946NIGMS NIH HHS GM30580NIGMS NIH HHS GM613000NIGMS NIH HHS R01 GM030580NIGMS NIH HHS R01 GM061300NIGMS NIH HHS R01 GM100946NIGMS NIH HHS SC3 GM095417
6 · The paper itself

Abstract

Force field accuracy is still one of the "stalemates" in biomolecular modeling. Model systems with high quality experimental data are valuable instruments for the validation and improvement of effective potentials. With respect to protein-ligand binding, organic host-guest complexes have long served as models for both experimental and computational studies because of the abundance of binding affinity data available for such systems. Binding affinity data collected for cyclodextrin (CD) inclusion complexes, a popular model for molecular recognition, is potentially a more reliable resource for tuning energy parameters than hydration free energy measurements. Convergence of binding free energy calculations on CD host-guest systems can also be obtained rapidly, thus offering the opportunity to assess the robustness of these parameters. In this work, we demonstrate how implicit solvent parameters can be developed using binding affinity experimental data and the binding energy distribution analysis method (BEDAM) and validated using the Grid Inhomogeneous Solvation Theory analysis. These new solvation parameters were used to study protein-ligand binding in two drug targets against the HIV-1 virus and improved the agreement between the calculated and the experimental binding affinities. This work illustrates how benchmark sets of high quality experimental binding affinity data and physics-based binding free energy models can be used to evaluate and optimize force fields for protein-ligand systems. Copyright © 2015 John Wiley & Sons, Ltd.

Indexed as

beta-CyclodextrinsHIV IntegraseHIV ProteaseLigandsModels, MolecularProtein BindingProtein ConformationThermodynamicsbeta-CyclodextrinsHIV IntegraseHIV ProteaseLigandsBEDAMforce fieldfree energyGISTOPLS

Identifiers

PMID26256816
PMCPMC4715590

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.