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• W2022963386 abstract "Currently, one of the most serious problems in protein-folding simulations for de novo structure prediction is conformational sampling of medium-to-large proteins. In vivo, folding of these proteins is mediated by molecular chaperones. Inspired by the functions of chaperonins, we designed a simple chaperonin-like simulation protocol within the framework of the standard fragment assembly method: in our protocol, the strength of the hydrophobic interaction is periodically modulated to help the protein escape from misfolded structures. We tested this protocol for 38 proteins and found that, using a certain defined criterion of success, our method could successfully predict the native structures of 14 targets, whereas only those of 10 targets were successfully predicted using the standard protocol. In particular, for non-α-helical proteins, our method yielded significantly better predictions than the standard approach. This chaperonin-inspired protocol that enhanced de novo structure prediction using folding simulations may, in turn, provide new insights into the working principles underlying the chaperonin system." @default.
• W2022963386 created "2016-06-24" @default.
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• W2022963386 creator A5053583578 @default.
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• W2022963386 date "2008-04-01" @default.
• W2022963386 modified "2023-10-02" @default.
• W2022963386 title "In Silico Chaperonin-Like Cycle Helps Folding of Proteins for Structure Prediction" @default.
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• W2022963386 doi "https://doi.org/10.1529/biophysj.107.115261" @default.
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