MTPNet conditions molecular graph representations on receptor protein and pocket features, improving activity cliff prediction across 30 MoleculeACE targets.
Hunting for peptide binders of spe- cific targets with data-centric generative language models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
MTPNet conditions molecular graph representations on receptor protein and pocket features, improving activity cliff prediction across 30 MoleculeACE targets.