Title:
TASSER_WT: A protein structure prediction algorithm with accurate predicted contact restraints for difficult protein targets
TASSER_WT: A protein structure prediction algorithm with accurate predicted contact restraints for difficult protein targets
Author(s)
Lee, Seung Yup
Skolnick, Jeffrey
Skolnick, Jeffrey
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Abstract
To improve the prediction accuracy in the regime where template alignment quality is poor, an updated version of TASSER_2.0, namely TASSER_WT, was developed. TASSER_WT incorporates more accurate contact restraints from a new method, COMBCON. COMBCON uses confidence-weighted contacts from PROSPECTOR_3.5, the latest version, PROSPECTOR_4, and a new local structural fragment-based threading algorithm, STITCH, implemented in two variants depending on expected fragment prediction accuracy. TASSER_WT is tested on 622 Hard proteins, the most difficult targets (incorrect alignments and/or templates and incorrect side-chain contact restraints) in a comprehensive benchmark of 2591 nonhomologous, single domain proteins %200 residues that cover the PDB at 35% pairwise sequence identity. For 454 of 622 Hard targets, COMBCON provides contact restraints with higher accuracy and number of contacts per residue. As contact coverage with confidence weight R3 (FwtR3 cov) increases, the more improved are TASSER_WT models. When FwtR3 cov > 1.0 and > 0.4, the average root mean-square deviation of TASSER_WT (TASSER_2.0) models is 4.11 A° (6.72 A° ) and 5.03 A° (6.40A° ), respectively. Regarding a structure prediction as successful when a model has a TM-score to the native structureR0.4, when FwtR3 cov > 1.0 and > 0.4, the success rate of TASSER_WT (TASSER_2.0) is 98.8% (76.2%) and 93.7% (81.1%), respectively.
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2010-11
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