Deep-learning in situ classification of HIV-1 virion morphology.

Rey, Juan S; Li, Wen; Bryer, Alexander J; Beatson, Hagan; Lantz, Christian; Engelman, Alan N; Perilla, Juan R

Rey, Juan S; Li, Wen; Bryer, Alexander J; Beatson, Hagan; Lantz, Christian; Engelman, Alan N; Perilla, Juan R.

Afiliación

Rey JS; Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States.
Li W; Department of Medicine, Harvard Medical School, Boston, MA, United States.
Bryer AJ; Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA, United States.
Beatson H; Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States.
Lantz C; Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States.
Engelman AN; Department of Chemistry and Biochemistry, University of Delaware, Newark, DE, United States.
Perilla JR; Department of Medicine, Harvard Medical School, Boston, MA, United States.

Comput Struct Biotechnol J ; 19: 5688-5700, 2021.

Article en En | MEDLINE | ID: mdl-34765089

Palabras clave

Artificial intelligence; Computer vision; Deep learning; Electron microscopy; HIV-1; Quantitative biology; Virology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Struct Biotechnol J Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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