Evidence map›Paper›PMID 33577321›Full record

ArticleJournal of chemical theory and computation2021

Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein-Ligand Docking.

Hahnbeom Park, Guangfeng Zhou, Minkyung Baek, David Baker, Frank DiMaio

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  5. A hERG Blocker Facilitates KbioRxiv : the preprint server for biology · 2026
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  9. Heat- and PIP2-dependent TRPM4 activity underlies mutually exclusive human diseases.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Article
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  14. Modeling protein-small molecule conformational ensembles with PLACER.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Undirected Exploration of Binding Pockets with Flexible Topology.Journal of chemical theory and computation · 2025
    Article
  16. Modeling protein-small molecule conformational ensembles with PLACER.bioRxiv : the preprint server for biology · 2025
    Article
  17. Review
  18. Article
  19. Article
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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.

Hahnbeom ParkDepartment of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington 98195, United States.ORCID http://orcid.org/0000-0002-7129-1912
Guangfeng ZhouDepartment of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington 98195, United States.ORCID http://orcid.org/0000-0003-2728-1917
Minkyung BaekDepartment of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington 98195, United States.
David BakerDepartment of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington 98195, United States.
Frank DiMaioDepartment of Biochemistry and Institute for Protein Design, University of Washington, Seattle, Washington 98195, United States.ORCID http://orcid.org/0000-0002-7524-8938

Funding

Protein structure determination from low-resolution experimental dataR01GM123089 · NIGMS · UNIVERSITY OF WASHINGTON · PI DIMAIO, FRANK P · 2017 to 2025
$2.6M
NIGMS NIH HHS R01 GM123089
6 · The paper itself

Abstract

Accurate and rapid calculation of protein-small molecule interaction free energies is critical for computational drug discovery. Because of the large chemical space spanned by drug-like molecules, classical force fields contain thousands of parameters describing atom-pair distance and torsional preferences; each parameter is typically optimized independently on simple representative molecules. Here, we describe a new approach in which small molecule force field parameters are jointly optimized guided by the rich source of information contained within thousands of available small molecule crystal structures. We optimize parameters by requiring that the experimentally determined molecular lattice arrangements have lower energy than all alternative lattice arrangements. Thousands of independent crystal lattice-prediction simulations were run on each of 1386 small molecule crystal structures, and energy function parameters of an implicit solvent energy model were optimized, so native crystal lattice arrangements had the lowest energy. The resulting energy model was implemented in Rosetta, together with a rapid genetic algorithm docking method employing grid-based scoring and receptor flexibility. The success rate of bound structure recapitulation in cross-docking on 1112 complexes was improved by more than 10% over previously published methods, with solutions within <1 Å in over half of the cases. Our results demonstrate that small molecule crystal structures are a rich source of information for guiding molecular force field development, and the improved Rosetta energy function should increase accuracy in a wide range of small molecule structure prediction and design studies.

Indexed as

Molecular Docking SimulationAlgorithmsCrystallography, X-RayLigandsProteinsSmall Molecule LibrariesLigandsProteinsSmall Molecule Libraries

Identifiers

PMID33577321
PMCPMC8218654

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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.