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Predicting the performance of automated crystallographic model-building pipelines. (2021)

First Author: Alharbi E

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1107/s2059798321010500

PubMed Identifier: 34866614

Publication URI: http://europepmc.org/abstract/MED/34866614

Type: Journal Article/Review

Volume: 77

Parent Publication: Acta crystallographica. Section D, Structural biology

Issue: Pt 12

ISSN: 2059-7983