蛋白质组
选择(遗传算法)
缩小
进化生物学
功能(生物学)
计算生物学
生物进化
生命系统
适者生存
生物
达尔文(ADL)
计算机科学
生物信息学
人工智能
生态学
遗传学
软件工程
程序设计语言
出处
期刊:Quarterly Reviews of Biophysics
[Cambridge University Press]
日期:2020-01-01
卷期号:53
被引量:14
标识
DOI:10.1017/s0033583520000037
摘要
Abstract Darwin's theory of evolution emphasized that positive selection of functional proficiency provides the fitness that ultimately determines the structure of life, a view that has dominated biochemical thinking of enzymes as perfectly optimized for their specific functions. The 20th-century modern synthesis, structural biology, and the central dogma explained the machinery of evolution, and nearly neutral theory explained how selection competes with random fixation dynamics that produce molecular clocks essential e.g. for dating evolutionary histories. However, quantitative proteomics revealed that selection pressures not relating to optimal function play much larger roles than previously thought, acting perhaps most importantly via protein expression levels. This paper first summarizes recent progress in the 21st century toward recovering this universal selection pressure. Then, the paper argues that proteome cost minimization is the dominant, underlying ‘non-function’ selection pressure controlling most of the evolution of already functionally adapted living systems. A theory of proteome cost minimization is described and argued to have consequences for understanding evolutionary trade-offs, aging, cancer, and neurodegenerative protein-misfolding diseases.
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