蛋白质折叠
理论(学习稳定性)
蛋白质设计
能源景观
高斯分布
选择(遗传算法)
蛋白质稳定性
计算机科学
统计物理学
蛋白质结构
化学
物理
生物
人工智能
计算化学
机器学习
热力学
细胞生物学
生物化学
作者
Jonas Minning,Markus Porto,Ugo Bastolla
出处
期刊:Proteins
[Wiley]
日期:2013-04-10
卷期号:81 (7): 1102-1112
被引量:35
摘要
Proteins that need to be structured in their native state must be stable both against the unfolded ensemble and against incorrectly folded (misfolded) conformations with low free energy. Positive design targets the first type of stability by strengthening native interactions. The second type of stability is achieved by destabilizing interactions that occur frequently in the misfolded ensemble, a strategy called negative design. Here, we investigate negative design adopting a statistical mechanical model of the misfolded ensemble, which improves the usual Gaussian approximation by taking into account the third moment of the energy distribution and contact correlations. Applying this model, we detect and quantify selection for negative design in most natural proteins, and we analytically design protein sequences that are stable both against unfolding and against misfolding. Proteins 2013; 81:1102–1112. © 2013 Wiley Periodicals, Inc.
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