FoldRec-C2C: protein fold recognition by combining cluster-to-cluster model and protein similarity network.

ABSTRACT: As a key for studying the protein structures, protein fold recognition is playing an important role in predicting the protein structures associated with COVID-19 and other important structures. However, the existing computational predictors only focus on the protein pairwise similarity or the similarity between two groups of proteins from 2-folds. However, the homology relationship among proteins is in a hierarchical structure. The global protein similarity network will contribute to the performance improvement. In this study, we proposed a predictor called FoldRec-C2C to globally incorporate the interactions among proteins into the prediction. For the FoldRec-C2C predictor, protein fold recognition problem is treated as an information retrieval task in nature language processing. The init

SUBMITTER: Shao J 

PROVIDER: S-EPMC7454262 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature