Long-range contact supervision during ESM2 adaptation improves sequence-only protein representations on eight protein-level benchmarks, most strongly remote homology (+0.0647 macro-F1).
Using deep learning to annotate the protein universe
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
LC-SEPLM: long-range contact-supervised adaptation for sequence-only protein representation learning
Long-range contact supervision during ESM2 adaptation improves sequence-only protein representations on eight protein-level benchmarks, most strongly remote homology (+0.0647 macro-F1).