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The EVcouplings Python framework for coevolutionary sequence analysis.
Hopf, Thomas A; Green, Anna G; Schubert, Benjamin; Mersmann, Sophia; Schärfe, Charlotta P I; Ingraham, John B; Toth-Petroczy, Agnes; Brock, Kelly; Riesselman, Adam J; Palmedo, Perry; Kang, Chan; Sheridan, Robert; Draizen, Eli J; Dallago, Christian; Sander, Chris; Marks, Debora S.
Afiliación
  • Hopf TA; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Green AG; Department of Cell Biology, Harvard Medical School, Boston, MA, USA.
  • Schubert B; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Mersmann S; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Schärfe CPI; Department of Cell Biology, Harvard Medical School, Boston, MA, USA.
  • Ingraham JB; cBio Center, Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA.
  • Toth-Petroczy A; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Brock K; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Riesselman AJ; Center for Bioinformatics, University of Tübingen, Tübingen, Germany.
  • Palmedo P; Applied Bioinformatics, Department of Computer Science, Tübingen, Germany.
  • Kang C; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Sheridan R; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Draizen EJ; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Dallago C; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Sander C; Department of Systems Biology, Harvard Medical School, Boston, MA, USA.
  • Marks DS; Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA.
Bioinformatics ; 35(9): 1582-1584, 2019 05 01.
Article en En | MEDLINE | ID: mdl-30304492
SUMMARY: Coevolutionary sequence analysis has become a commonly used technique for de novo prediction of the structure and function of proteins, RNA, and protein complexes. We present the EVcouplings framework, a fully integrated open-source application and Python package for coevolutionary analysis. The framework enables generation of sequence alignments, calculation and evaluation of evolutionary couplings (ECs), and de novo prediction of structure and mutation effects. The combination of an easy to use, flexible command line interface and an underlying modular Python package makes the full power of coevolutionary analyses available to entry-level and advanced users. AVAILABILITY AND IMPLEMENTATION: https://github.com/debbiemarkslab/evcouplings.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos