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

bioRxiv

Molecular Biosciences and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Published: August 2025


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Article Abstract

In macromolecular structure refinement the low observation-to-parameter ratio and the lack of high-resolution data is countered by using 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 minimise the energy of a ligand by adjusting its geometry, and these geometries can be used to generate restraints macromolecular refinement. We describe here a library of 37,000 small molecules extracted from the Chemical Components 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, the restraints library provides users with both functional restraints and minimised geometries. This work also provides procedures for generating new and accurate restraints.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12324484PMC
http://dx.doi.org/10.1101/2025.08.01.668229DOI Listing

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In macromolecular structure refinement the low observation-to-parameter ratio and the lack of high-resolution data is countered by using 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.

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