蛋白质设计
生物医学
蛋白质工程
蛋白质折叠
无穷小
卡斯普
计算生物学
计算机科学
序列空间
蛋白质结构
蛋白质结构预测
合成生物学
纳米技术
生物
生物信息学
生物化学
材料科学
数学
数学分析
酶
巴拿赫空间
纯数学
作者
Po‐Ssu Huang,Scott E. Boyken,David Baker
出处
期刊:Nature
[Springer Nature]
日期:2016-09-01
卷期号:537 (7620): 320-327
被引量:1231
摘要
There are 20(200) possible amino-acid sequences for a 200-residue protein, of which the natural evolutionary process has sampled only an infinitesimal subset. De novo protein design explores the full sequence space, guided by the physical principles that underlie protein folding. Computational methodology has advanced to the point that a wide range of structures can be designed from scratch with atomic-level accuracy. Almost all protein engineering so far has involved the modification of naturally occurring proteins; it should now be possible to design new functional proteins from the ground up to tackle current challenges in biomedicine and nanotechnology.
科研通智能强力驱动
Strongly Powered by AbleSci AI