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The JCSG high‐throughput structural biology pipeline
Author(s) -
Elsliger MarcAndré,
Deacon Ashley M.,
Godzik Adam,
Lesley Scott A.,
Wooley John,
Wüthrich Kurt,
Wilson Ian A.
Publication year - 2010
Publication title -
acta crystallographica section f
Language(s) - English
Resource type - Journals
ISSN - 1744-3091
DOI - 10.1107/s1744309110038212
Subject(s) - pipeline (software) , computer science , throughput , structural genomics , process (computing) , selection (genetic algorithm) , structural biology , computational biology , data science , biology , protein structure , artificial intelligence , genetics , telecommunications , biochemistry , wireless , programming language , operating system
The Joint Center for Structural Genomics high‐throughput structural biology pipeline has delivered more than 1000 structures to the community over the past ten years. The JCSG has made a significant contribution to the overall goal of the NIH Protein Structure Initiative (PSI) of expanding structural coverage of the protein universe, as well as making substantial inroads into structural coverage of an entire organism. Targets are processed through an extensive combination of bioinformatics and biophysical analyses to efficiently characterize and optimize each target prior to selection for structure determination. The pipeline uses parallel processing methods at almost every step in the process and can adapt to a wide range of protein targets from bacterial to human. The construction, expansion and optimization of the JCSG gene‐to‐structure pipeline over the years have resulted in many technological and methodological advances and developments. The vast number of targets and the enormous amounts of associated data processed through the multiple stages of the experimental pipeline required the development of variety of valuable resources that, wherever feasible, have been converted to free‐access web‐based tools and applications.

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