Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies.

Yeung, Wayland; Zhou, Zhongliang; Mathew, Liju; Gravel, Nathan; Taujale, Rahil; O'Boyle, Brady; Salcedo, Mariah; Venkat, Aarya; Lanzilotta, William; Li, Sheng; Kannan, Natarajan

Yeung, Wayland; Zhou, Zhongliang; Mathew, Liju; Gravel, Nathan; Taujale, Rahil; O'Boyle, Brady; Salcedo, Mariah; Venkat, Aarya; Lanzilotta, William; Li, Sheng; Kannan, Natarajan.

Afiliación

Yeung W; Institute of Bioinformatics, University of Georgia, 30602, Georgia, USA.
Zhou Z; School of Computing, University of Georgia, 30602, Georgia, USA.
Mathew L; Department of Microbiology, University of Georgia, 30602, Georgia, USA.
Gravel N; Institute of Bioinformatics, University of Georgia, 30602, Georgia, USA.
Taujale R; Institute of Bioinformatics, University of Georgia, 30602, Georgia, USA.
O'Boyle B; Department of Biochemistry and Molecular Biology, University of Georgia, 30602, Georgia, USA.
Salcedo M; Department of Biochemistry and Molecular Biology, University of Georgia, 30602, Georgia, USA.
Venkat A; Department of Biochemistry and Molecular Biology, University of Georgia, 30602, Georgia, USA.
Lanzilotta W; Department of Biochemistry and Molecular Biology, University of Georgia, 30602, Georgia, USA.
Li S; School of Data Science, University of Virginia, 22903, Virginia, USA.
Kannan N; Institute of Bioinformatics, University of Georgia, 30602, Georgia, USA.

Brief Bioinform ; 24(1)2023 01 19.

Article en En | MEDLINE | ID: mdl-36642409

Asunto(s)

Secuencia de Aminoácidos; Proteínas; Análisis por Conglomerados; Proteínas/química; Alineación de Secuencia

Palabras clave

deep learning; hierarchical clustering; manifold visualization; protein language models; representation learning; sequence classification

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Proteínas / Secuencia de Aminoácidos Tipo de estudio: Prognostic_studies Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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