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3D based on 2D: Calculating helix angles and stacking patterns using forgi 2.0, an RNA Python library centered on secondary structure elements.
Thiel, Bernhard C; Beckmann, Irene K; Kerpedjiev, Peter; Hofacker, Ivo L.
Afiliação
  • Thiel BC; Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, 1090, Austria.
  • Beckmann IK; Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, 1090, Austria.
  • Kerpedjiev P; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, 02115, USA.
  • Hofacker IL; Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, 1090, Austria.
F1000Res ; 82019.
Article em En | MEDLINE | ID: mdl-31069053
ABSTRACT
We present forgi, a Python library to analyze the tertiary structure of RNA secondary structure elements. Our representation of an RNA molecule is centered on secondary structure elements (stems, bulges and loops). By fitting a cylinder to the helix axis, these elements are carried over into a coarse-grained 3D structure representation. Integration with Biopython allows for handling of all-atom 3D information. forgi can deal with a variety of file formats including dotbracket strings, PDB and MMCIF files. We can handle modified residues, missing residues, cofold and multifold structures as well as nucleotide numbers starting at arbitrary positions. We apply this library to the study of stacking helices in junctions and pseudo knots and investigate how far stacking helices in solved experimental structures can divert from coaxial geometries.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Azepinas Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Compostos Organometálicos / Azepinas Idioma: En Ano de publicação: 2019 Tipo de documento: Article