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) 蛋白质化学 蛋白质结构 生物 数据科学 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 BV]
卷期号:433 (20): 167160-167160 被引量:127
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
852应助ZDP采纳,获得10
1秒前
浮浮世世发布了新的文献求助10
1秒前
Hello应助风清扬采纳,获得10
2秒前
zzzzzz完成签到,获得积分10
2秒前
谦让惜海完成签到 ,获得积分10
2秒前
3秒前
3秒前
明理新晴发布了新的文献求助10
3秒前
3秒前
张瑜完成签到,获得积分10
4秒前
大个应助开心的冰香采纳,获得30
4秒前
我是老大应助林林林采纳,获得10
4秒前
7秒前
chy完成签到 ,获得积分10
8秒前
1111完成签到,获得积分10
8秒前
pinan关注了科研通微信公众号
9秒前
长迎关注了科研通微信公众号
9秒前
情怀应助谨慎老四采纳,获得10
9秒前
9秒前
9秒前
ccczzz发布了新的文献求助10
9秒前
9秒前
10秒前
Maestro_S应助风清扬采纳,获得10
10秒前
11秒前
wll完成签到,获得积分20
11秒前
12秒前
龙龙发布了新的文献求助10
12秒前
bkagyin应助溟夔蝶魅采纳,获得30
12秒前
13秒前
zzZ发布了新的文献求助10
13秒前
是多少应助loseyourself采纳,获得20
13秒前
科研通AI5应助强强采纳,获得10
14秒前
14秒前
lucygaga完成签到 ,获得积分10
14秒前
16秒前
16秒前
小蘑菇应助闪闪航空采纳,获得10
16秒前
ZDP发布了新的文献求助10
16秒前
韩明佐完成签到 ,获得积分20
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Acute Mountain Sickness 2000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
Thomas Hobbes' Mechanical Conception of Nature 500
Determinants in the Evolution of the European Chemical Industry, 1900–1939 400
Lactic Acid Bacteria 400
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 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5100499
求助须知:如何正确求助?哪些是违规求助? 4312045
关于积分的说明 13435963
捐赠科研通 4139558
什么是DOI,文献DOI怎么找? 2268123
邀请新用户注册赠送积分活动 1271055
关于科研通互助平台的介绍 1207297