Protein intrinsically disordered region prediction by combining neural architecture search and multi-objective genetic algorithm.

ABSTRACT:

Background

Intrinsically disordered regions (IDRs) are widely distributed in proteins and related to many important biological functions. Accurately identifying IDRs is of great significance for protein structure and function analysis. Because the long disordered regions (LDRs) and short disordered regions (SDRs) share different characteristics, the existing predictors fail to achieve better and more stable performance on datasets with different ratios between LDRs and SDRs. There are two main reasons. First, the existing predictors construct network structures based on their own experiences such as convolutional neural network (CNN) which is used to extract the feature of neighboring residues in protein, and long short-term memory (LSTM) is used to extract the long-distance depend

SUBMITTER: Tang YJ 

PROVIDER: S-EPMC10483879 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature