What is it about?
This page belongs to the bioRxiv preprint of a study that has since been peer reviewed and published. The published version is the one to cite and the one carrying the full explanation, and it is available at doi.org/10.1021/acs.jctc.5c00688. The work introduces statistical molecular interaction fields, a fast way of characterising the pockets where other molecules bind, on RNA as well as on proteins. Binding pockets are where most drugs and most molecular recognition act, so having a quick and informative way to describe them matters for anyone studying either. Please follow the link above for the complete account.
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Why is it important?
Preprints and their published versions carry separate identifiers, so they appear as separate records in indexes and reference managers. This note exists so that anyone arriving at the preprint is sent to the version of record rather than reading an earlier draft and citing it.
Perspectives
We are keeping this page as a signpost rather than duplicating the explanation across two entries. Everything worth saying about this study is said on the published version.
Dr Marc Baaden
CNRS
Read the Original
This page is a summary of: Statistical Molecular Interaction Fields: A Fast and Informative Tool for Characterizing RNA and Protein Binding Pockets, April 2025, Cold Spring Harbor Laboratory Press,
DOI: 10.1101/2025.04.16.649117.
You can read the full text:
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