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.

Access the full-text of this item by clicking on the Open Access link.

Official URL: http://dx.doi.org/10.1107/s2053273322095997

Item Type:	Article
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:	19 Mar 2024 14:40
DOI:	10.1107/s2053273322095997
Open Access URL:	https://scripts.iucr.org/cgi-bin/paper?S2053273322...
Related URLs:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3179501