Protein intrinsic disorder prediction using Attention U-Net and ProtTrans protein language model

arXiv:2404.08108v1 Announce Type: new
Abstract: The prediction of intrinsic disorder regions has significant implications for understanding protein function, structure, and dynamics. It can help to discover novel functions or protein-protein interactions essential to designing new drugs, therapies, or enzymes. Recently, a new generation of predictors based on protein language models is emerging. These algorithms reach state-of-the-art accuracy without calculating time-consuming multiple sequence alignments (MSAs). The article pre-sents a new protein intrinsic disorder predictor DisorderUnetLM based on the Attention U-Net convolutional …

abstract arxiv attention cs.lg designing drugs dynamics function functions interactions intrinsic language language model novel prediction protein q-bio.bm type understanding