Deep learning architectures tailored to protein hierarchy combined with sequence-space search algorithms are used to improve prediction of protein complex structures and to design new interacting sequences.
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
cs.LG 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Deep Learning for Protein Complex Prediction and Design
Deep learning architectures tailored to protein hierarchy combined with sequence-space search algorithms are used to improve prediction of protein complex structures and to design new interacting sequences.