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A Novel Approach to Data Collection for Difficult Structures: Data Management for Large Numbers of Crystals with the BLEND Software.
Mylona, Anastasia; Carr, Stephen; Aller, Pierre; Moraes, Isabel; Treisman, Richard; Evans, Gwyndaf; Foadi, James.
Afiliação
  • Mylona A; Signalling and Transcription Laboratory, Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
  • Carr S; Research Complex at Harwell, Rutherford Appleton Laboratory, Oxford OX11 0FA, UK.
  • Aller P; Department of Biochemistry, University of Oxford, South Parks Road, Oxford OX1 3QU, UK.
  • Moraes I; Diamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.
  • Treisman R; Diamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.
  • Evans G; Signalling and Transcription Laboratory, Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
  • Foadi J; Diamond Light Source Ltd., Harwell Science and Innovation Campus, Didcot OX11 0DE, UK.
Crystals (Basel) ; 7(8): 242, 2017 Aug 04.
Article em En | MEDLINE | ID: mdl-29456874
ABSTRACT
The present article describes how to use the computer program BLEND to help assemble complete datasets for the solution of macromolecular structures, starting from partial or complete datasets, derived from data collection from multiple crystals. The program is demonstrated on more than two hundred X-ray diffraction datasets obtained from 50 crystals of a complex formed between the SRF transcription factor, its cognate DNA, and a peptide from the SRF cofactor MRTF-A. This structure is currently in the process of being fully solved. While full details of the structure are not yet available, the repeated application of BLEND on data from this structure, as they have become available, has made it possible to produce electron density maps clear enough to visualise the potential location of MRTF sequences.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article