亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A Brief History of De Novo Protein Design: Minimal, Rational, and Computational

蛋白质设计 合理设计 蛋白质折叠 蛋白质工程 合成生物学 计算机科学 时间轴 计算生物学 功能(生物学) 药物设计 蛋白质结构 生物 数据科学 生物信息学 生物化学 数学 遗传学 统计
作者
Derek N. Woolfson
出处
期刊:Journal of Molecular Biology [Elsevier]
卷期号:433 (20): 167160-167160 被引量:104
标识
DOI:10.1016/j.jmb.2021.167160
摘要

Protein design has come of age, but how will it mature? In the 1980s and the 1990s, the primary motivation for de novo protein design was to test our understanding of the informational aspect of the protein-folding problem; i.e., how does protein sequence determine protein structure and function? This necessitated minimal and rational design approaches whereby the placement of each residue in a design was reasoned using chemical principles and/or biochemical knowledge. At that time, though with some notable exceptions, the use of computers to aid design was not widespread. Over the past two decades, the tables have turned and computational protein design is firmly established. Here, I illustrate this progress through a timeline of de novo protein structures that have been solved to atomic resolution and deposited in the Protein Data Bank. From this, it is clear that the impact of rational and computational design has been considerable: More-complex and more-sophisticated designs are being targeted with many being resolved to atomic resolution. Furthermore, our ability to generate and manipulate synthetic proteins has advanced to a point where they are providing realistic alternatives to natural protein functions for applications both in vitro and in cells. Also, and increasingly, computational protein design is becoming accessible to non-specialists. This all begs the questions: Is there still a place for minimal and rational design approaches? And, what challenges lie ahead for the burgeoning field of de novo protein design as a whole?
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
香蕉觅云应助Dawn采纳,获得10
1秒前
XhuaQye发布了新的文献求助10
1秒前
搜集达人应助CNcattle采纳,获得10
1秒前
4秒前
隐形曼青应助科研通管家采纳,获得10
5秒前
霉小欧应助科研通管家采纳,获得10
5秒前
cdu应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
5秒前
6秒前
缓慢炳完成签到,获得积分20
7秒前
xiaoran发布了新的文献求助10
8秒前
FERN0826完成签到 ,获得积分10
9秒前
10秒前
缓慢炳发布了新的文献求助10
10秒前
13秒前
CNcattle发布了新的文献求助10
15秒前
16秒前
闵凝竹完成签到 ,获得积分10
16秒前
19秒前
22秒前
CNcattle完成签到,获得积分10
23秒前
今后应助顶刊收割机采纳,获得10
24秒前
26秒前
Calyn完成签到 ,获得积分10
28秒前
28秒前
33秒前
Lucas应助诚心的方盒采纳,获得10
42秒前
思源应助耍酷楼房采纳,获得10
45秒前
小绵羊的酸奶盖完成签到,获得积分10
45秒前
46秒前
46秒前
所所应助liuzf采纳,获得10
49秒前
欢呼的幻丝完成签到 ,获得积分10
50秒前
欢呼的幻丝关注了科研通微信公众号
55秒前
56秒前
liuzf发布了新的文献求助10
1分钟前
Huay完成签到 ,获得积分10
1分钟前
1分钟前
咸鱼的艺术完成签到 ,获得积分10
1分钟前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
XAFS for Everyone (2nd Edition) 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3133887
求助须知:如何正确求助?哪些是违规求助? 2784804
关于积分的说明 7768537
捐赠科研通 2440159
什么是DOI,文献DOI怎么找? 1297188
科研通“疑难数据库(出版商)”最低求助积分说明 624901
版权声明 600791