Evidence map›Paper›PMID 41705502›Full record

ArticleActa crystallographica. Section D, Structural biology2026

Validated ligand geometries for macromolecular refinement restraints and molecular-mechanics force fields.

Nigel W Moriarty, David A Case, Dorothee Liebschner, Paul D Adams

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Nigel W MoriartyMolecular Biosciences and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0001-8857-9464
David A CaseDepartment of Chemistry and Chemical Biology, Rutgers University, Piscataway, NJ 08854, USA.ORCID 0000-0003-2314-2346
Dorothee LiebschnerMolecular Biosciences and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0003-3921-3209
Paul D AdamsMolecular Biosciences and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0001-9333-8219

Funding

Phenix: providing high quality software to the research community for crystallography and cryo-EMR24GM141254 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS · 2021 to 2026
$9.2M
National Science Foundation CHE-2136142NIGMS NIH HHS R24 GM141254NIH HHS R24GM141264US Department of Energy DEAC02-05CH11231
6 · The paper itself

Abstract

In macromolecular structure refinement, the low observation-to-parameter ratio and the lack of high-resolution data are countered by using a priori information in the form of restraints. Having accurate geometries of the chemical entities in the sample is paramount for generating accurate chemical restraints and, therefore, accurate macromolecular structures. In particular, it is desirable to have accurate restraints for known and novel ligand entities. Quantum mechanics (QM) can minimize the energy of a ligand by adjusting its geometry, and these geometries can be used to generate restraints for macromolecular refinement. This article describes a library of approximately 37 000 small molecules extracted from the Chemical Component Dictionary in the Protein Data Bank and minimized by density-functional QM. The library includes restraint files for use in crystallography or cryo-EM refinement, along with files suitable for molecular-dynamics simulation. Because the geometries are validated using the Cambridge Structural Database, the restraints library provides users with both functional restraints and minimized geometries. This work also provides procedures for generating new and accurate restraints.

Indexed as

Macromolecular SubstancesMolecular Dynamics SimulationProteinsCrystallography, X-RayDatabases, ProteinLigandsModels, MolecularQuantum MechanicsLigandsMacromolecular SubstancesProteinsAmberligand restraintsmacromolecular crystallographymacromolecular refinementmolecular mechanicsrefinement

Identifiers

PMID41705502
PMCPMC12954859

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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.