Evidence map›Paper›PMID 35255214›Full record

ArticleJournal of chemical theory and computation2022

Addressing Intersite Coupling Unlocks Large Combinatorial Chemical Spaces for Alchemical Free Energy Methods.

Ryan L Hayes, Jonah Z Vilseck, Charles L Brooks

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Multisite λ-Dynamics for Protein-DNA Binding Affinity Prediction.Journal of chemical theory and computation · 2025
    Article
  5. Review
  6. How to Sample Dozens of Substitutions per Site with λ Dynamics.Journal of chemical theory and computation · 2024
    Article
  7. A λ-Dynamics Investigation of InsulinJournal of chemical information and modeling · 2024
    Article
  8. A λ-dynamics investigation of insulinbioRxiv : the preprint server for biology · 2024
    Article
  9. Selection pressures on evolution of ribonuclease H explored with rigorous free-energy-based design.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. QSAR via multisite λ-dynamics in the orphaned TSSK1B kinase.Protein science : a publication of the Protein Society · 2023
    Article
  12. 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

3 authors.

Ryan L HayesDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.
Jonah Z VilseckDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana 46202, United States.ORCID https://orcid.org/0000-0001-7076-8996
Charles L BrooksDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States.ORCID https://orcid.org/0000-0002-8149-5417

Funding

Theory and Modeling of Biomolecules and their Interactions - Equipment SupplementR35GM130587 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHARLES L BROOKS · 2019 to 2026
$6.9M
Theoretical Studies of Receptor-Ligand InteractionsR01GM037554 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 1987 to 2018
$3.8M
Computational infrastructure for biomedically-driven simulation and modelingS10OD034346 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2023 to 2023
$593k
NIGMS NIH HHS R01 GM037554NIGMS NIH HHS R35 GM130587NIH HHS S10 OD034346
6 · The paper itself

Abstract

Alchemical free energy methods are playing a growing role in molecular design, both for computer-aided drug design of small molecules and for computational protein design. Multisite λ dynamics (MSλD) is a uniquely scalable alchemical free energy method that enables more efficient exploration of combinatorial alchemical spaces encountered in molecular design, but simulations have typically been limited to a few hundred ligands or sequences. Here, we focus on coupling between sites to enable scaling to larger alchemical spaces. We first discuss updates to the biasing potentials that facilitate MSλD sampling to include coupling terms and show that this can provide more thorough sampling of alchemical states. We then harness coupling between sites by developing a new free energy estimator based on the Potts models underlying direct coupling analysis, a method for predicting contacts from sequence coevolution, and find it yields more accurate free energies than previous estimators. The sampling requirements of the Potts model estimator scale with the square of the number of sites, a substantial improvement over the exponential scaling of the standard estimator. This opens up exploration of much larger alchemical spaces with MSλD for molecular design.

Indexed as

Molecular Dynamics SimulationProteinsEntropyLigandsThermodynamicsLigandsProteins

Identifiers

PMID35255214
PMCPMC9700482

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.