PDB-wide model validation using deep learning-based predictions of distances and contacts

Rodriguez, F Sanchez, Chojnowski, G, Keegan, R and Rigden, D ORCID: 0000-0002-7565-8937 (2022) PDB-wide model validation using deep learning-based predictions of distances and contacts ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 78 (a2). E79-E79. ISSN 2053-2733

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Item Type:	Article
Uncontrolled Keywords:	3402 Inorganic Chemistry, 34 Chemical Sciences
Divisions:	Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Systems, Molec & Integrative Biology > Inst. Systems, Molec & Integrative Biology
Depositing User:	Symplectic Admin
Date Deposited:	19 Mar 2024 14:40
Last Modified:	16 Jun 2026 20:21
DOI:	10.1107/S2053273322095997
Open Access URL:	https://scripts.iucr.org/cgi-bin/paper?S2053273322...
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3179501
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