Exploring the speed and performance of molecular replacement with AMPLE using QUARK ab initio protein models.

Keegan, Ronan M; Bibby, Jaclyn; Thomas, Jens; Xu, Dong; Zhang, Yang; Mayans, Olga; Winn, Martyn D; Rigden, Daniel J

Keegan, Ronan M; Bibby, Jaclyn; Thomas, Jens; Xu, Dong; Zhang, Yang; Mayans, Olga; Winn, Martyn D; Rigden, Daniel J.

Afiliación

Keegan RM; Research Complex at Harwell, STFC Rutherford Appleton Laboratory, Didcot OX11 0FA, England.
Bibby J; Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, England.
Thomas J; Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, England.
Xu D; Bioinformatics and Systems Biology Program, Sanford-Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA.
Zhang Y; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
Mayans O; Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, England.
Winn MD; Science and Technology Facilities Council Daresbury Laboratory, Warrington WA4 4AD, England.
Rigden DJ; Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, England.

Acta Crystallogr D Biol Crystallogr ; 71(Pt 2): 338-43, 2015 Feb.

Article en En | MEDLINE | ID: mdl-25664744

Asunto(s)

Proteínas/química; Programas Informáticos; Conformación Proteica; Factores de Tiempo

Palabras clave

AMPLE; QUARK; ROSETTA; ab initio modelling; molecular replacement

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Tipo de estudio: Prognostic_studies Idioma: En Revista: Acta Crystallogr D Biol Crystallogr Año: 2015 Tipo del documento: Article País de afiliación: Reino Unido

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