ProtT3: Protein-to-Text Generation for Text-based Protein Understanding

arXiv:2405.12564v1 Announce Type: cross
Abstract: Language Models (LMs) excel in understanding textual descriptions of proteins, as evident in biomedical question-answering tasks. However, their capability falters with raw protein data, such as amino acid sequences, due to a deficit in pretraining on such data. Conversely, Protein Language Models (PLMs) can understand and convert protein data into high-quality representations, but struggle to process texts. To address their limitations, we introduce ProtT3, a framework for Protein-to-Text Generation for Text-based Protein Understanding. ProtT3 empowers …

arxiv cs.cl cs.mm protein q-bio.qm text text generation type understanding