Predicted structural proteome of Sphagnum divinum and proteome-scale annotation
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Georgia Institute of Technology, Atlanta, GA (United States)
- HudsonAlpha Institute for Biotechnology, Huntsville, AL (United States)
- Univ. of Missouri, Columbia, MO (United States)
- HudsonAlpha Institute for Biotechnology, Huntsville, AL (United States); USDOE Joint Genome Institute (JGI), Berkeley, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sphagnum-dominated peatlands store a substantial amount of terrestrial carbon. The genus is undersampled and under-studied. No experimental crystal structure from any Sphagnum species exists in the Protein Data Bank and fewer than 200 Sphagnum-related genes have structural models available in the AlphaFold Protein Structure Database. Tools and resources are needed to help bridge these gaps, and to enable the analysis of other structural proteomes now made possible by accurate structure prediction. We present the predicted structural proteome (25,134 primary transcripts) of Sphagnum divinum computed using AlphaFold, structural alignment results of all high-confidence models against an annotated nonredundant crystallographic database of over 90,000 structures, a structure-based classification of putative Enzyme Commission (EC) numbers across this proteome, and the computational method to perform this proteome-scale structure-based annotation.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1997742
- Journal Information:
- Bioinformatics, Journal Name: Bioinformatics Journal Issue: 8 Vol. 39; ISSN 1367-4803
- Publisher:
- Oxford University PressCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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