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Bioinformatic analysis of riboswitch structures uncovers variant classes with altered ligand specificity.
Weinberg, Zasha; Nelson, James W; Lünse, Christina E; Sherlock, Madeline E; Breaker, Ronald R.
Afiliação
  • Weinberg Z; Howard Hughes Medical Institute, Yale University, New Haven, CT 06520.
  • Nelson JW; Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520.
  • Lünse CE; Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT 06520.
  • Sherlock ME; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520.
  • Breaker RR; Howard Hughes Medical Institute, Yale University, New Haven, CT 06520; ronald.breaker@yale.edu.
Proc Natl Acad Sci U S A ; 114(11): E2077-E2085, 2017 03 14.
Article em En | MEDLINE | ID: mdl-28265071
ABSTRACT
Riboswitches are RNAs that form complex, folded structures that selectively bind small molecules or ions. As with certain groups of protein enzymes and receptors, some riboswitch classes have evolved to change their ligand specificity. We developed a procedure to systematically analyze known riboswitch classes to find additional variants that have altered their ligand specificity. This approach uses multiple-sequence alignments, atomic-resolution structural information, and riboswitch gene associations. Among the discoveries are unique variants of the guanine riboswitch class that most tightly bind the nucleoside 2'-deoxyguanosine. In addition, we identified variants of the glycine riboswitch class that no longer recognize this amino acid, additional members of a rare flavin mononucleotide (FMN) variant class, and also variants of c-di-GMP-I and -II riboswitches that might recognize different bacterial signaling molecules. These findings further reveal the diverse molecular sensing capabilities of RNA, which highlights the potential for discovering a large number of additional natural riboswitch classes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Biologia Computacional / Riboswitch Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: RNA / Biologia Computacional / Riboswitch Tipo de estudo: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Ano de publicação: 2017 Tipo de documento: Article