Clustering for Protein Representation Learning

arXiv:2404.00254v1 Announce Type: new
Abstract: Protein representation learning is a challenging task that aims to capture the structure and function of proteins from their amino acid sequences. Previous methods largely ignored the fact that not all amino acids are equally important for protein folding and activity. In this article, we propose a neural clustering framework that can automatically discover the critical components of a protein by considering both its primary and tertiary structure information. Our framework treats a protein as …

abstract acid article arxiv clustering cs.ce cs.lg framework function protein protein folding proteins q-bio.bm q-bio.qm representation representation learning type