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pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model

Crossref DOI link: https://doi.org/10.1186/s12859-023-05164-9

Published Online: 2023-02-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Pratyush, Pawel

Pokharel, Suresh

Saigo, Hiroto

KC, Dukka B.
Funding

Funding for this research was provided by:

Directorate for Biological Sciences (1901793, 1901793, 1901793)
License Information

Text and Data Mining valid from 2023-02-08

Version of Record valid from 2023-02-08
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Article History

Received: 14 October 2022

Accepted: 30 January 2023

First Online: 8 February 2023

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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