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

Parent Publication: Acta Crystallographica Section D Structural Biology

Issue: 12

ISSN: 2059-7983