Predicting the Real-Valued Inter-Residue Distances for Proteins.

ABSTRACT: Predicting protein structure from the amino acid sequence has been a challenge with theoretical and practical significance in biophysics. Despite the recent progresses elicited by improved inter-residue contact prediction, contact-based structure prediction has gradually reached the performance ceiling. New methods have been proposed to predict the inter-residue distance, but unanimously by simplifying the real-valued distance prediction into a multiclass classification problem. Here, a lightweight regression-based distance prediction method is shown, which adopts the generative adversarial network to capture the delicate geometric relationship between residue pairs and thus could predict the continuous, real-valued inter-residue distance rapidly and satisfactorily. The predicted residue d

SUBMITTER: Ding W 

PROVIDER: S-EPMC7539185 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature