A two-stage conditional deep learning framework modulates enzyme and substrate embeddings toward catalysis-aware features, reporting better benchmark results than specialized enzyme-substrate predictors.
Title resolution pending
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
q-bio.BM 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
OmniESI: A unified framework for enzyme-substrate interaction prediction with progressive conditional deep learning
A two-stage conditional deep learning framework modulates enzyme and substrate embeddings toward catalysis-aware features, reporting better benchmark results than specialized enzyme-substrate predictors.