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Data-driven challenges and opportunities in crystallography

Structural biology is in the midst of a revolution fueled by faster and more powerful instruments capable of delivering orders of magnitude more data than their predecessors. This increased pace in data gathering introduces new experimental and computational challenges, frustrating real-time process...

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Detalles Bibliográficos
Autores principales: Glynn, Calina, Rodriguez, Jose A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289006/
https://www.ncbi.nlm.nih.gov/pubmed/33523208
http://dx.doi.org/10.1042/ETLS20180177
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author Glynn, Calina
Rodriguez, Jose A.
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Rodriguez, Jose A.
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description Structural biology is in the midst of a revolution fueled by faster and more powerful instruments capable of delivering orders of magnitude more data than their predecessors. This increased pace in data gathering introduces new experimental and computational challenges, frustrating real-time processing and interpretation of data and requiring long-term solutions for data archival and retrieval. This combination of challenges and opportunities is driving the exploration of new areas of structural biology, including studies of macromolecular dynamics and the investigation of molecular ensembles in search of a better understanding of conformational landscapes. The next generation of instruments promises to yield even greater data rates, requiring a concerted effort by institutions, centers and individuals to extract meaning from every bit and make data accessible to the community at large, facilitating data mining efforts by individuals or groups as analysis tools improve.
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spelling pubmed-72890062020-06-18 Data-driven challenges and opportunities in crystallography Glynn, Calina Rodriguez, Jose A. Emerg Top Life Sci Review Articles Structural biology is in the midst of a revolution fueled by faster and more powerful instruments capable of delivering orders of magnitude more data than their predecessors. This increased pace in data gathering introduces new experimental and computational challenges, frustrating real-time processing and interpretation of data and requiring long-term solutions for data archival and retrieval. This combination of challenges and opportunities is driving the exploration of new areas of structural biology, including studies of macromolecular dynamics and the investigation of molecular ensembles in search of a better understanding of conformational landscapes. The next generation of instruments promises to yield even greater data rates, requiring a concerted effort by institutions, centers and individuals to extract meaning from every bit and make data accessible to the community at large, facilitating data mining efforts by individuals or groups as analysis tools improve. Portland Press Ltd. 2019-08-16 2019-07-26 /pmc/articles/PMC7289006/ /pubmed/33523208 http://dx.doi.org/10.1042/ETLS20180177 Text en © 2019 The Author(s) https://creativecommons.org/licenses/by/4.0/ This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Articles
Glynn, Calina
Rodriguez, Jose A.
Data-driven challenges and opportunities in crystallography
title Data-driven challenges and opportunities in crystallography
title_full Data-driven challenges and opportunities in crystallography
title_fullStr Data-driven challenges and opportunities in crystallography
title_full_unstemmed Data-driven challenges and opportunities in crystallography
title_short Data-driven challenges and opportunities in crystallography
title_sort data-driven challenges and opportunities in crystallography
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289006/
https://www.ncbi.nlm.nih.gov/pubmed/33523208
http://dx.doi.org/10.1042/ETLS20180177
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