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• W1985946228 abstract "Although residue-residue contact maps dictate the topology of proteins, sequence-based ab initio contact predictions have been found little use in actual structure prediction due to the low accuracy. We developed a composite set of nine SVM-based contact predictors that are used in I-TASSER simulation in combination with sparse template contact restraints. When testing the strategy on 273 nonhomologous targets, remarkable improvements of I-TASSER models were observed for both easy and hard targets, with p value by Student's t test <0.00001 and 0.001, respectively. In several cases, template modeling score increases by >30%, which essentially converts “nonfoldable” targets into “foldable” ones. In CASP9, I-TASSER employed ab initio contact predictions, and generated models for 26 FM targets with a GDT-score 16% and 44% higher than the second and third best servers from other groups, respectively. These findings demonstrate a new avenue to improve the accuracy of protein structure prediction especially for free-modeling targets." @default.
• W1985946228 created "2016-06-24" @default.
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• W1985946228 creator A5049850884 @default.
• W1985946228 creator A5090705771 @default.
• W1985946228 date "2011-08-01" @default.
• W1985946228 modified "2023-10-16" @default.
• W1985946228 title "Improving Protein Structure Prediction Using Multiple Sequence-Based Contact Predictions" @default.
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• W1985946228 doi "https://doi.org/10.1016/j.str.2011.05.004" @default.
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