Douglas Mitchell (University of Illinois Urbana-Champaign), Timothy Precord (University of Illinois Urbana-Champaign), Graham Hudson (University of Illinois Urbana-Champaign), Nilkamal Mahanta (University of Illinois Urbana-Champaign), Brandon Burkhart (University of Illinois Urbana-Champaign), John Gerlt (University of Illinois Urbana-Champaign)
Presenting Author University of Illinois Urbana-Champaign
Radical S-adenosylmethionine-dependent (rSAM) enzymes comprise one of the largest and most functionally diverse protein superfamilies known. InterPro 87.0 (Nov-2021) classifies gt;0.7M sequences in the UniProt database as containing a rSAM domain with the overwhelming majority having unknown and unpredictable functions. To accelerate the discovery of new enzymatic reactions, we have created an open-access web resource, RadicalSAM.org, that applies modern genomic enzymology approaches to analyze the rSAM superfamily. This resource updates and considerably expands upon the archival Structure-Function Linkage Database. RadicalSAM.org includes pre-computed sequence similarity networks, domain architecture analysis, sequence logos, length histograms, multiple sequence alignments, hidden Markov models, genomic neighborhood diagrams, and taxonomical information for any desired grouping of rSAM proteins. Also included are relevant links to journal articles, UniProt, KEGG, Swiss-Prot, PDB, and other external resources. This talk will briefly highlight examples of how we are leveraging insights provided by RadicalSAM.org, with our specific interests pertaining to the ribosomally synthesized and post-translationally modified peptides (RiPPs).
Support or Funding Information
This work was supported in part by the National Institutes of Health (R01 GM097142, R01 GM123998, and T32 GM070421), the National Science Foundation Graduate Research Fellowships Program (DGE-1144245), and fellowships from Robert and Carolyn Springborn and Seemon Pines.
lt;pgt;This work was supported in part by the National Institutes of Health (R01 GM097142, R01 GM123998, and T32 GM070421),amp;nbsp;the National Science Foundation Graduate Research Fellowships Program (DGE-1144245), and fellowships from Robert and Carolyn Springborn and Seemon Pines.lt;/pgt;