Genomics

Protein inter‐residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14

2 days ago   |   By Wiley

Abstract
This article reports and analyzes the results of protein contact and distance prediction by our methods in the 14th Critical Assessment of techniques for protein Structure Prediction. A new deep learning-based contact/distance predictor was employed based on the ensemble of two complementary coevolution features coupling with deep residual networks. We also improved our multiple sequence alignment generation protocol with wholesale meta-genome sequence databases. On 22 CASP14 free modeling targets, the proposed model achieved a top-L/5 long-range precision of 63.8% and a mean...
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Target classification in the 14th round of the critical assessment of protein structure prediction

2 days ago   |   By Wiley

Abstract
An evolutionary-based definition and classification of target evaluation units is presented for the 14th round of the critical assessment of structure prediction. CASP14 targets included 84 experimental models submitted by various structural groups. Targets were split into EUs based on the domain organization of available templates and performance of server groups. Several targets required splitting due in part to observed conformation changes. All in all, 96 CASP14 EUs were defined and assigned to tertiary structure assessment categories (Topology-based FM or High Accuracy-based...
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