Data-driven Challenges and Opportunities in Crystallography

Overview

Journal Emerg Top Life Sci

Specialty Biology

Date 2021 Feb 1

PMID 33523208

Citations 2

Authors

Calina Glynn

Jose A Rodriguez

Affiliations

Soon will be listed here.

Abstract

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.

Citing Articles

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PMID: 36544717 PMC: 9710231. DOI: 10.1039/d2sc05142g.

Harnessing the power of an X-ray laser for serial crystallography of membrane proteins crystallized in lipidic cubic phase.

Lee M, Geiger J, Ishchenko A, Han G, Barty A, White T IUCrJ. 2020; 7(Pt 6):976-984.

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