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BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information

Crossref DOI link: https://doi.org/10.1186/s12859-025-06190-5

Published Online: 2025-07-21

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

Authors

Zhu, Lun

Sun, Hao

Yang, Sen
Funding

Funding for this research was provided by:

Jiangsu Students’ platform for innovation and entrepreneurship training program (202310292023Z)

Natural Science Foundation of Jiangsu Province of China (BK20230626)

State Key Laboratory of Plant Environmental Resilience (SKLPERKF2401)

State Key Laboratory of Animal Biotech Breeding (2024SKLAB6-1)

Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX23_3069)

Fourth Batch of Leading Innovative Talents Introduction and Training Projects under the Longcheng Talent Plan in Changzhou City (CQ20230086)
License Information

Text and Data Mining valid from 2025-07-21

Version of Record valid from 2025-07-21
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Article History

Received: 20 May 2024

Accepted: 13 June 2025

First Online: 21 July 2025

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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