Using deep learning to annotate the protein universe-Reference-Cited by-同舟云学术

Using deep learning to annotate the protein universe

Published:2022-02-21 Issue:6 Volume:40 Page:932-937
ISSN:1087-0156
Container-title:Nature Biotechnology
language:en
Short-container-title:Nat Biotechnol

Author:

Bileschi Maxwell L.,Belanger David^ORCID,Bryant Drew H.^ORCID,Sanderson Theo^ORCID,Carter Brandon^ORCID,Sculley D.,Bateman Alex^ORCID,DePristo Mark A.^ORCID,Colwell Lucy J.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://www.nature.com/articles/s41587-021-01179-w.pdf

Reference45 articles.

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3. Söding, J. Protein homology detection by HMM–HMM comparison. Bioinformatics 21, 951–960 (2004).

4. Biegert, A. & Söding, J. Sequence context-specific profiles for homology searching. Proc. Natl Acad. Sci. USA 106, 3770–3775 (2009).

5. Finn, R. D., Clements, J. & Eddy, S. R. HMMER web server: interactive sequence similarity searching. Nucleic Acids Res. 39, W29–W37 (2011).

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