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


Sanchez Rodriguez, F, 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 Section A Foundations 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 and Life Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 19 Mar 2024 14:40
Last Modified: 08 Dec 2024 01:33
DOI: 10.1107/s2053273322095997
Open Access URL: https://scripts.iucr.org/cgi-bin/paper?S2053273322...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3179501
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