MIPPIS: protein–protein interaction site prediction network with multi-information fusion
Compared with six protein structure-based methods and six protein sequence-based methods, our model achieves optimal performance across evaluation metrics, including accuracy, precision, F<sub>1</sub>, Matthews correlation coefficient, and area under the precision recall curve, which demonstrates the superiority of our model.
Authors
- Tao Song (ORCID: https://orcid.org/0000-0002-0130-3340)
- Kaiyu Dong
- Xue Li (ORCID: https://orcid.org/0000-0002-4515-6792)
- Yunjing Zhang
- Shuang Wang (ORCID: https://orcid.org/0009-0006-0949-3093)
Institutions
- China University of Petroleum, East China (CN)
- Universidad Politécnica de Madrid (ES)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1186/s12859-024-05964-7
- Citations
- 8
- Primary Topic
- Machine Learning in Bioinformatics
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province