📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

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

First Author: Alharbi E

Attributed to: CCP4 Advanced integrated approaches to macromolecular structure determination funded by BBSRC

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