Combining pairwise structural similarity and deep learning interface contact prediction to estimate protein complex model accuracy in CASP15.

ABSTRACT: Estimating the accuracy of quaternary structural models of protein complexes and assemblies (EMA) is important for predicting quaternary structures and applying them to studying protein function and interaction. The pairwise similarity between structural models is proven useful for estimating the quality of protein tertiary structural models, but it has been rarely applied to predicting the quality of quaternary structural models. Moreover, the pairwise similarity approach often fails when many structural models are of low quality and similar to each other. To address the gap, we developed a hybrid method (MULTICOM_qa) combining a pairwise similarity score (PSS) and an interface contact probability score (ICPS) based on the deep learning inter-chain contact prediction for estimating protei

SUBMITTER: Cheng J 

PROVIDER: S-EPMC10028888 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature