"Alphappimi: a comprehensive deep learning framework for predicting ..."

Dayan Liu et al. (2025)

> Home

Details and statistics

DOI: 10.1186/S13321-025-01077-2

access: open

type: Journal Article

metadata version: 2025-10-14

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jcheminf/LiuSWLHWW25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcheminf/LiuSWLHWW25
Dayan Liu, Tao Song, Shuang Wang, Xue Li, Peifu Han, Jianxin Wang, Shudong Wang:
Alphappimi: a comprehensive deep learning framework for predicting PPI-modulator interactions. J. Cheminformatics 17(1): 134 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.