序列空间
折叠(高阶函数)
蛋白质功能预测
观点
计算生物学
生物
蛋白质测序
功能(生物学)
序列(生物学)
蛋白质功能
蛋白质结构
相似性(几何)
蛋白质设计
进化生物学
遗传学
计算机科学
肽序列
人工智能
数学
基因
生物化学
物理
图像(数学)
巴拿赫空间
程序设计语言
纯数学
声学
作者
Janan Sykes,Barbara R. Holland,Michael Charleston
摘要
ABSTRACT Proteins form arguably the most significant link between genotype and phenotype. Understanding the relationship between protein sequence and structure, and applying this knowledge to predict function, is difficult. One way to investigate these relationships is by considering the space of protein folds and how one might move from fold to fold through similarity, or potential evolutionary relationships. The many individual characterisations of fold space presented in the literature can tell us a lot about how well the current Protein Data Bank represents protein fold space, how convergence and divergence may affect protein evolution, how proteins affect the whole of which they are part, and how proteins themselves function. A synthesis of these different approaches and viewpoints seems the most likely way to further our knowledge of protein structure evolution and thus, facilitate improved protein structure design and prediction.
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