arXiv cs.LG
· Papers
LC-SEPLM: long-range contact-supervised adaptation for sequence-only protein representation learning
arXiv:2607.22777v1 Announce Type: new Abstract: Protein language models learn transferable sequence representations. However, because they primarily model contextual dependencies along amino-acid sequences, their training objectives do not explicitly constrain the model to learn three-dimensional residue contacts forme