Statistical mechanics of helix bundles using a dynamic programming approach.
Statistical mechanics of helix bundles using a dynamic programming approach.
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使用动态规划方法的螺旋束统计力学。
DOI:
10.1021/ja067153s
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发表时间:
2007
影响因子:
15
通讯作者:
Dill,KenA
中科院分区:
文献类型:
--
作者:
Lucas,Adam;Huang,Liang;Joshi,Aravind;Dill,KenA
Despite much study, biomolecule folding cooperativity is not well understood. There are quantitative models for helix-coil transitions and for coil-to-globule transitions, but no accurate models yet treat both chain collapse and secondary structure formation together. We develop here a dynamic programming approach to statistical mechanical partition functions of foldamer chain molecules. We call it the ascending levels model. We apply it to helix-coil and helix-bundle folding and cooperativity. For 14- to 50-mer Baldwin peptides, the model gives good predictions for the heat capacity and helicity versus temperature and urea. The model also gives good fits for the denaturation of Oas's three-helix bundle B domain of protein A (F13W*) and synthetic protein α3Cby temperature and guanidine. The model predicts the conformational distributions. It shows that these proteins fold with transitions that are two-state, although the transitions in the Baldwin helices are nearly higher order. The model shows that the recently developed three-helix bundle polypeptoids of Lee et al. foldanti-cooperatively, with a predicted value of ΔHvH/ΔHcal= 0.72. The model also predicts that two-helix bundles are unstable in proteins but stable in peptoids. Our dynamic programming approach provides a general way to explore cooperativity in complex foldable polymers.