Abstract
The Enzyme Function Initiative (EFI) provides a web resource with “genomic enzymology” web tools to leverage the protein (UniProt) and genome (European Nucleotide Archive; ENA; https://www.ebi.ac.uk/ena/) databases to assist the assignment of in vitro enzymatic activities and in vivo metabolic functions to uncharacterized enzymes (https://efi.igb.illinois.edu/). The tools enable (1) exploration of sequence-function space in enzyme families using sequence similarity networks (SSNs; EFI-EST), (2) easy access to genome context for bacterial, archaeal, and fungal proteins in the SSN clusters so that isofunctional families can be identified and their functions inferred from genome context (EFI-GNT); and (3) determination of the abundance of SSN clusters in NIH Human Metagenome Project metagenomes using chemically guided functional profiling (EFI-CGFP). We describe enhancements that enable SSNs to be generated from taxonomy categories, allowing higher resolution analyses of sequence-function space; we provide examples of the generation of taxonomy category-specific SSNs.
Original language | English (US) |
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Article number | 168018 |
Journal | Journal of Molecular Biology |
Volume | 435 |
Issue number | 14 |
DOIs | |
State | Published - Jul 15 2023 |
Keywords
- EFI-EST
- EFI-GNT
- genome context
- sequence similarity networks
- taxonomy
ASJC Scopus subject areas
- Molecular Biology
- Biophysics
- Structural Biology