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Merging of synchrotron serial crystallographic data by a genetic algorithm
- Source :
- Acta crystallographica / D 72(9), 1026-1035 (2016). doi:10.1107/S2059798316012079, Acta crystallographica. Section D, Structural biology, Acta crystallographica. Section D, Structural biology, International Union of Crystallography, 2016, 72 (9), pp.1026-1035. ⟨10.1107/S2059798316012079⟩, Acta crystallographica Section D : Structural biology [1993-...], Acta crystallographica Section D : Structural biology [1993-..], 2016, 72 (9), pp.1026-1035. ⟨10.1107/S2059798316012079⟩, 'Acta Crystallographica D ', vol: 72, pages: 1026-1035 (2016), Acta Crystallographica. Section D, Structural Biology, Acta Crystallographica. Section D, Structural Biology (72), 1026-1035. (2016)
- Publication Year :
- 2016
- Publisher :
- Wiley-Blackwell, 2016.
-
Abstract
- Acta crystallographica / D 72(9), 1026 - 1035(2016). doi:10.1107/S2059798316012079<br />Recent advances in macromolecular crystallography have made it practical to rapidly collect hundreds of sub-data sets consisting of small oscillations of incomplete data. This approach, generally referred to as serial crystallography, has many uses, including an increased effective dose per data set, the collection of data from crystals without harvesting (in situ data collection) and studies of dynamic events such as catalytic reactions. However, selecting which data sets from this type of experiment should be merged can be challenging and new methods are required. Here, it is shown that a genetic algorithm can be used for this purpose, and five case studies are presented in which the merging statistics are significantly improved compared with conventional merging of all data.<br />Published by Wiley-Blackwell, Oxford
- Subjects :
- 0301 basic medicine
030103 biophysics
genetic algorithms
cluster analysis
serial crystallography
Sporosarcina
[SDV]Life Sciences [q-bio]
Arabidopsis
Thermolysin
Crystallographic data
Bacillus
Nanotechnology
LUX-DNA complex
Biology
Crystallography, X-Ray
law.invention
Bacterial protein
03 medical and health sciences
Bacterial Proteins
Structural Biology
law
ddc:570
Genetic algorithm
Insulin
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
Glucose isomerase
Aldose-Ketose Isomerases
ComputingMilieux_MISCELLANEOUS
GENETIC ALGORITHMS
Data collection
Arabidopsis Proteins
Protein
Macromolecular crystallography
Proteins
Research Papers
Urease
Synchrotron
Data set
030104 developmental biology
Algorithm
Algorithms
Synchrotrons
Transcription Factors
Subjects
Details
- Language :
- English
- ISSN :
- 20597983 and 09074449
- Database :
- OpenAIRE
- Journal :
- Acta crystallographica / D 72(9), 1026-1035 (2016). doi:10.1107/S2059798316012079, Acta crystallographica. Section D, Structural biology, Acta crystallographica. Section D, Structural biology, International Union of Crystallography, 2016, 72 (9), pp.1026-1035. ⟨10.1107/S2059798316012079⟩, Acta crystallographica Section D : Structural biology [1993-...], Acta crystallographica Section D : Structural biology [1993-..], 2016, 72 (9), pp.1026-1035. ⟨10.1107/S2059798316012079⟩, 'Acta Crystallographica D ', vol: 72, pages: 1026-1035 (2016), Acta Crystallographica. Section D, Structural Biology, Acta Crystallographica. Section D, Structural Biology (72), 1026-1035. (2016)
- Accession number :
- edsair.doi.dedup.....03ad03498e29e2e1da6abee86f7331ab