Evidence map›Paper›PMID 38129400›Full record

ArticleNature communications2023

Fast free energy estimates from λ-dynamics with bias-updated Gibbs sampling.

Michael T Robo, Ryan L Hayes, Xinqiang Ding, Brian Pulawski, Jonah Z Vilseck

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. How to Sample Dozens of Substitutions per Site with λ Dynamics.Journal of chemical theory and computation · 2024
    Article
  12. A λ-Dynamics Investigation of InsulinJournal of chemical information and modeling · 2024
    Article
  13. A λ-dynamics investigation of insulinbioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Flexible Topology: A Dynamic Model of a Continuous Chemical Space.Journal of chemical theory and computation · 2023
    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.

Michael T RoboDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.ORCID 0000-0003-1356-246X
Ryan L HayesChemical and Biomolecular Engineering, University of California, Irvine, California, 92617, USA.
Xinqiang DingDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID 0000-0002-4598-8732
Brian PulawskiDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Jonah Z VilseckDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA. jvilseck@iu.edu.ORCID 0000-0001-7076-8996

Funding

Tackling Multifaceted Drug Design Problems with Lambda Dynamics Based TechnologiesR35GM146888 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI JONAH VILSECK · 2022 to 2026
$1.9M
NIGMS NIH HHS R35 GM146888
6 · The paper itself

Abstract

Relative binding free energy calculations have become an integral computational tool for lead optimization in structure-based drug design. Classical alchemical methods, including free energy perturbation or thermodynamic integration, compute relative free energy differences by transforming one molecule into another. However, these methods have high operational costs due to the need to perform many pairwise perturbations independently. To reduce costs and accelerate molecular design workflows, we present a method called λ-dynamics with bias-updated Gibbs sampling. This method uses dynamic biases to continuously sample between multiple ligand analogues collectively within a single simulation. We show that many relative binding free energies can be determined quickly with this approach without compromising accuracy. For five benchmark systems, agreement to experiment is high, with root mean square errors near or below 1.0 kcal mol

Indexed as

Drug DesignMolecular Dynamics SimulationEntropyLigandsProtein BindingThermodynamicsLigands

Identifiers

PMID38129400
PMCPMC10740020

What OpenQuestion holds

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Registered trials

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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.