Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers

arXiv:2307.14367v3 Announce Type: replace-cross
Abstract: In recent years, significant progress has been made in the field of protein function prediction with the development of various machine-learning approaches. However, most existing methods formulate the task as a multi-classification problem, i.e. assigning predefined labels to proteins. In this work, we propose a novel approach, Prot2Text, which predicts a protein's function in a free text style, moving beyond the conventional binary or categorical classifications. By combining Graph Neural Networks(GNNs) and Large Language Models(LLMs), …

abstract arxiv classification cs.cl cs.lg development function gnns however labels machine multimodal novel prediction progress protein proteins q-bio.qm transformers type work