计算生物学
简单(哲学)
生物
分子进化
自然选择
遗传密码
选择(遗传算法)
蛋白质工程
蛋白质折叠
计算机科学
进化生物学
氨基酸
遗传学
基因组
基因
人工智能
生物化学
哲学
认识论
酶
作者
Arvind Pillai,Georg K. A. Hochberg,Joseph W. Thornton
摘要
Abstract Proteins are tiny models of biological complexity: specific interactions among their many amino acids cause proteins to fold into elaborate structures, assemble with other proteins into higher‐order complexes, and change their functions and structures upon binding other molecules. These complex features are classically thought to evolve via long and gradual trajectories driven by persistent natural selection. But a growing body of evidence from biochemistry, protein engineering, and molecular evolution shows that naturally occurring proteins often exist at or near the genetic edge of multimerization, allostery, and even new folds, so just one or a few mutations can trigger acquisition of these properties. These sudden transitions can occur because many of the physical properties that underlie these features are present in simpler proteins as fortuitous by‐products of their architecture. Moreover, complex features of proteins can be encoded by huge arrays of sequences, so they are accessible from many different starting points via many possible paths. Because the bridges to these features are both short and numerous, random chance can join selection as a key factor in explaining the evolution of molecular complexity.
科研通智能强力驱动
Strongly Powered by AbleSci AI