Predicting the performance of automated crystallographic model-building pipelines

Emad Alharbi (Creator)
Paul Bond (Contributor)
Radu Calinescu (Contributor)
Kevin Douglas Cowtan (Contributor)

Dataset

Description

Dataset for the paper "Predicting the performance of automated crystallographic model-building pipelines"

Date made available	20 Oct 2021
Publisher	University of York
Date of data production	20 Oct 2021

Contact

lib-open-research@york.ac.uk

DOI
10.15124/ee9d169f-c34b-44f2-8c75-3b68e7cd68a8

Access Dataset

ROBIN_ML_Paper.zip
File: application/zip, 2.67 GB
Type: Dataset
Licence: CC BY

1 Article

Predicting the performance of automated crystallographic model-building pipelines
Alharbi, E., Bond, P., Calinescu, R. & Cowtan, K., 1 Dec 2021, In: Acta crystallographica. Section D, Structural biology. 77, Pt 12, p. 1591-1601 11 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File

1 Active

CCP4 Advanced integrated approaches to macromolecular structure determination
Cowtan, K. D. & Agirre, J.
BBSRC (BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL)
1/04/19 → 31/03/24
Project: Research project (funded) › Research

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