AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding.

"source code and models have been made freely available at: https://github com/idrblab/annopro and https://zenodo org/records/10012272 supplementary information the online version contains supplementary material available at 10 1186/s13059-024-03166-1.; it is also been deposited to zenodo ( https://zenodo org/records/10012272 ) with assigned doi: 10 5281/zenodo 10208537 [ 70 ] under the mit license. availability of data and materials the source codes for protein functional annotation using annopro are now available on github ( https://github com/idrblab/annopro ) [ 69 ] under the mit license. availability of data and materials the source codes for protein functional annotation using annopro are now available on github ( https://github com/idrblab/annopro ) [ 69 ] under the mit license. it is also been deposited to zenodo"

"source code and models have been made freely available at: https://github com/idrblab/annopro and https://zenodo org/records/10012272 supplementary information the online version contains supplementary material available at 10 1186/s13059-024-03166-1.; availability of data and materials the source codes for protein functional annotation using annopro are now available on github ( https://github com/idrblab/annopro ) [ 69 ] under the mit license. source code and models have been made freely available at: https://github com/idrblab/annopro and https://zenodo org/records/10012272 supplementary information the online version contains supplementary material available at 10 1186/s13059-024-03166-1."

"Declarations Ethics approval and consent to participateEthical approval was not required for this study. Competing interestsP.F., Z.Y.Z, S.Z. and Z.R.L. are employed by Alibaba. The authors declare no competing interests. Competing interests P.F., Z.Y.Z, S.Z. and Z.R.L. are employed by Alibaba. The authors declare no competing interests."

"Funding Funded by National Natural Science Foundation of China (82373790, 22220102001, 81872798 and U1909208); Natural Science Foundation of Zhejiang Province (LR21H300001); National Key R&D Program of China (2022YFC3400501); Leading Talent of the ‘Ten Thousand Plan’—National High-Level Talents Special Support Plan of China; Fundamental Research Fund for Central Universities (2018QNA7023); "Double Top-Class" University Project (181201*194232101); Key R&D Program of Zhejiang Province (2020C03010). This work was supported by Westlake Laboratory (Westlake Laboratory of Life Sciences and Biomedicine); Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare; Alibaba Cloud; Information Technology Center of Zhejiang University."