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Atlas of the Radical SAM Superfamily: Divergent Evolution of Function Using a "Plug and Play" Domain.
Holliday, Gemma L; Akiva, Eyal; Meng, Elaine C; Brown, Shoshana D; Calhoun, Sara; Pieper, Ursula; Sali, Andrej; Booker, Squire J; Babbitt, Patricia C.
Afiliación
  • Holliday GL; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States. Electronic address: gemma.l.holliday@gmail.com.
  • Akiva E; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States.
  • Meng EC; Resource for Biocomputing, Visualization, and Informatics, Department of Pharmaceutical Chemistry, School of Pharmacy, University of California, San Francisco, CA, United States.
  • Brown SD; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States.
  • Calhoun S; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States; Graduate Program in Biophysics, University of California, San Francisco, CA, United States.
  • Pieper U; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States.
  • Sali A; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States; Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, United States; Quantitative Biosciences Institute, University of California, San Franc
  • Booker SJ; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, United States; Department of Chemistry, The Pennsylvania State University, University Park, PA, United States; The Howard Hughes Medical Institute, The Pennsylvania State University, University
  • Babbitt PC; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, United States; Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, CA, United States; Quantitative Biosciences Institute, University of California, San Franc
Methods Enzymol ; 606: 1-71, 2018.
Article en En | MEDLINE | ID: mdl-30097089
ABSTRACT
The radical SAM superfamily contains over 100,000 homologous enzymes that catalyze a remarkably broad range of reactions required for life, including metabolism, nucleic acid modification, and biogenesis of cofactors. While the highly conserved SAM-binding motif responsible for formation of the key 5'-deoxyadenosyl radical intermediate is a key structural feature that simplifies identification of superfamily members, our understanding of their structure-function relationships is complicated by the modular nature of their structures, which exhibit varied and complex domain architectures. To gain new insight about these relationships, we classified the entire set of sequences into similarity-based subgroups that could be visualized using sequence similarity networks. This superfamily-wide analysis reveals important features that had not previously been appreciated from studies focused on one or a few members. Functional information mapped to the networks indicates which members have been experimentally or structurally characterized, their known reaction types, and their phylogenetic distribution. Despite the biological importance of radical SAM chemistry, the vast majority of superfamily members have never been experimentally characterized in any way, suggesting that many new reactions remain to be discovered. In addition to 20 subgroups with at least one known function, we identified additional subgroups made up entirely of sequences of unknown function. Importantly, our results indicate that even general reaction types fail to track well with our sequence similarity-based subgroupings, raising major challenges for function prediction for currently identified and new members that continue to be discovered. Interactive similarity networks and other data from this analysis are available from the Structure-Function Linkage Database.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: S-Adenosilmetionina / Enzimas / Dominios Proteicos / Radicales Libres Idioma: En Revista: Methods Enzymol Año: 2018 Tipo del documento: Article Pais de publicación: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: S-Adenosilmetionina / Enzimas / Dominios Proteicos / Radicales Libres Idioma: En Revista: Methods Enzymol Año: 2018 Tipo del documento: Article Pais de publicación: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA