| Literature DB >> 33418450 |
Remi Zallot1, Nils Oberg2, John A Gerlt3.
Abstract
The continuing expansion of protein and genome sequence databases is an opportunity to identify novel enzymes with biotechnological applications. Whether applied to enzymology, chemical biology, systems biology, and microbiology, database mining must be 'user-friendly' so that experimentalists can devise focused strategies to discover the in vitro activities and in vivo functions of uncharacterized enzymes. We developed a suite of genomic enzymology tools (https://efi.igb.illinois.edu/) to (1) generate sequence similarity networks (SSNs) for exploration of sequence-function space in protein families (EFI-EST) and (2) provide genome context for members of protein families (EFI-GNT). Integrated analysis of this complementary information allows to generate testable hypotheses about new functions. After a brief overview of EFI-EST and EFI-GNT, we describe applications that illustrate their use.Entities:
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Year: 2021 PMID: 33418450 PMCID: PMC8238782 DOI: 10.1016/j.copbio.2020.12.004
Source DB: PubMed Journal: Curr Opin Biotechnol ISSN: 0958-1669 Impact factor: 10.279