Evidence map›Paper›PMID 30175503›Full record

ArticleProtein science : a publication of the Protein Society2018

Approaching protein design with multisite λ dynamics: Accurate and scalable mutational folding free energies in T4 lysozyme.

Ryan L Hayes, Jonah Z Vilseck, Charles L Brooks

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Core Flipping in Lead Optimization: Rank Ordering Using λ-Dynamics.Journal of chemical information and modeling · 2025
    Article
  6. Article
  7. Multisite λ-Dynamics for Protein-DNA Binding Affinity Prediction.Journal of chemical theory and computation · 2025
    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. Article
  14. A λ-dynamics investigation of insulinbioRxiv : the preprint server for biology · 2024
    Article
  15. Article
  16. Article
  17. 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
  18. Article
  19. Article
  20. QSAR via multisite λ-dynamics in the orphaned TSSK1B kinase.Protein science : a publication of the Protein Society · 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

3 authors.

Ryan L HayesDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109.
Jonah Z VilseckDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109.
Charles L BrooksDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109.

Funding

Theoretical Studies of Receptor-Ligand InteractionsR01GM037554 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 1987 to 2018
$3.8M
CHARMM Modernization, Performance, and Continued DevelopmentR01GM103695 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2012 to 2018
$3.1M
NIGMS NIH HHS R01 GM037554NIGMS NIH HHS R01 GM103695NSF CHE 1506273
6 · The paper itself

Abstract

The estimation of changes in free energy upon mutation is central to the problem of protein design. Modern protein design methods have had remarkable success over a wide range of design targets, but are reaching their limits in ligand binding and enzyme design due to insufficient accuracy in mutational free energies. Alchemical free energy calculations have the potential to supplement modern design methods through more accurate molecular dynamics based prediction of free energy changes, but suffer from high computational cost. Multisite λ dynamics (MSλD) is a particularly efficient and scalable free energy method with potential to explore combinatorially large sequence spaces inaccessible with other free energy methods. This work aims to quantify the accuracy of MSλD and demonstrate its scalability. We apply MSλD to the classic problem of calculating folding free energies in T4 lysozyme, a system with a wealth of experimental measurements. Single site mutants considering 32 mutations show remarkable agreement with experiment with a Pearson correlation of 0.914 and mean unsigned error of 1.19 kcal/mol. Multisite mutants in systems with up to five concurrent mutations spanning 240 different sequences show comparable agreement with experiment. These results demonstrate the promise of MSλD in exploring large sequence spaces for protein design.

Indexed as

Molecular Dynamics SimulationProtein FoldingAmino AcidsAmino Acid SequenceMuramidaseMutationProtein EngineeringProtein StabilityThermodynamicsAmino AcidsMuramidasebindingcatalysismolecular dynamicsprotein folding

Identifiers

PMID30175503
PMCPMC6225981

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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.