Evidence map›Paper›PMID 29708338›Full record

ArticleJournal of chemical theory and computation2018

Enhanced Monte Carlo Methods for Modeling Proteins Including Computation of Absolute Free Energies of Binding.

Israel Cabeza de Vaca, Yue Qian, Jonah Z Vilseck, Julian Tirado-Rives, William L Jorgensen

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. CHARMM-GUIJournal of chemical theory and computation · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Energy penalties enhance flexible receptor docking in a model cavity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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.

Israel Cabeza de VacaDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.
Yue QianDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.
Jonah Z VilseckDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.
Julian Tirado-RivesDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.ORCID http://orcid.org/0000-0001-7330-189X
William L JorgensenDepartment of Chemistry , Yale University , New Haven , Connecticut 06520-8107 , United States.ORCID http://orcid.org/0000-0002-3993-9520

Funding

POTENTIAL FUNCTIONS FOR WATER PROTEIN INTERACTIONSR01GM032136 · NIGMS · YALE UNIVERSITY · PI JORGENSEN, WILLIAM L. · 1985 to 2023
$8.2M
NIGMS NIH HHS R01 GM032136
6 · The paper itself

Abstract

The generation of a complete ensemble of geometrical configurations is required to obtain reliable estimations of absolute binding free energies by alchemical free energy methods. Molecular dynamics (MD) is the most popular sampling method, but the representation of large biomolecular systems may be incomplete owing to energetic barriers that impede efficient sampling of the configurational space. Monte Carlo (MC) methods can possibly overcome this issue by adapting the attempted movement sizes to facilitate transitions between alternative local-energy minima. In this study, we present an MC statistical mechanics algorithm to explore the protein-ligand conformational space with emphasis on the motions of the protein backbone and side chains. The parameters for each MC move type were optimized to better reproduce conformational distributions of 18 dipeptides and the well-studied T4-lysozyme L99A protein. Next, the performance of the improved MC algorithms was evaluated by computing absolute free energies of binding for L99A lysozyme with benzene and seven analogs. Results for benzene with L99A lysozyme from MD and the optimized MC protocol were found to agree within 0.6 kcal/mol, while a mean unsigned error of 1.2 kcal/mol between MC results and experiment was obtained for the seven benzene analogs. Significant advantages in computation speed are also reported with MC over MD for similar extents of configurational sampling.

Indexed as

Monte Carlo MethodBacteriophage T4DipeptidesMolecular Dynamics SimulationMuramidaseMutagenesis, Site-DirectedProtein BindingProtein Structure, TertiaryThermodynamicsDipeptidesMuramidase

Identifiers

PMID29708338
PMCPMC6311413

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.