Multi-layer sequential network analysis improves protein 3D structural classification.

Newaz, Khalique; Piland, Jacob; Clark, Patricia L; Emrich, Scott J; Li, Jun; Milenkovic, Tijana

Newaz, Khalique; Piland, Jacob; Clark, Patricia L; Emrich, Scott J; Li, Jun; Milenkovic, Tijana.

Afiliación

Newaz K; Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA.
Piland J; Center for Data and Computing in Natural Sciences (CDCS), Institute for Computational Systems Biology, Universität Hamburg, Hamburg, Germany.
Clark PL; Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, Indiana, USA.
Emrich SJ; Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana, USA.
Li J; Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Tennessee, USA.
Milenkovic T; Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana, USA.

Proteins ; 90(9): 1721-1731, 2022 09.

Article en En | MEDLINE | ID: mdl-35441395

Asunto(s)

Proteínas; Secuencia de Aminoácidos; Proteínas/química; Alineación de Secuencia

Palabras clave

protein structural classification; protein structure networks; protein structures

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Idioma: En Revista: Proteins Asunto de la revista: BIOQUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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