Deepak Chaurasiya

IDP-T5CKNN: Protein Language Models for Prediction of Intrinsically Disordered Proteins

The results of this study demonstrate that embeddings generated by protein language models contain disorder-relevant information and that classification methods based on similarities to other proteins can achieve similar performance levels as deep artificial neural networks, while also improving the ability to understand the meaning of the outputs and reducing the amount of computational resources needed to produce the desired results.