De novo design of modular and tunable protein biosensors

生物传感器 分析物 适体 模块化设计 融合蛋白 化学 纳米技术 蛋白质工程 计算生物学 计算机科学 生物 重组DNA 生物化学 材料科学 分子生物学 基因 物理化学 酶 操作系统
作者
Alfredo Quijano‐Rubio,Andy Hsien-Wei Yeh,Jooyoung Park,Hansol Lee,Robert A. Langan,Scott E. Boyken,Marc J. Lajoie,Longxing Cao,Cameron M. Chow,Marcos C. Miranda,Jimin Wi,Hyo Jeong Hong,Lance J. Stewart,Byung‐Ha Oh,David A. Baker
出处
期刊:Nature [Nature Portfolio]
卷期号:591 (7850): 482-487 被引量:262
标识
DOI:10.1038/s41586-021-03258-z
摘要

Naturally occurring protein switches have been repurposed for the development of biosensors and reporters for cellular and clinical applications1. However, the number of such switches is limited, and reengineering them is challenging. Here we show that a general class of protein-based biosensors can be created by inverting the flow of information through de novo designed protein switches in which the binding of a peptide key triggers biological outputs of interest2. The designed sensors are modular molecular devices with a closed dark state and an open luminescent state; analyte binding drives the switch from the closed to the open state. Because the sensor is based on the thermodynamic coupling of analyte binding to sensor activation, only one target binding domain is required, which simplifies sensor design and allows direct readout in solution. We create biosensors that can sensitively detect the anti-apoptosis protein BCL-2, the IgG1 Fc domain, the HER2 receptor, and Botulinum neurotoxin B, as well as biosensors for cardiac troponin I and an anti-hepatitis B virus antibody with the high sensitivity required to detect these molecules clinically. Given the need for diagnostic tools to track the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)3, we used the approach to design sensors for the SARS-CoV-2 spike protein and antibodies against the membrane and nucleocapsid proteins. The former, which incorporates a de novo designed spike receptor binding domain (RBD) binder4, has a limit of detection of 15 pM and a luminescence signal 50-fold higher than the background level. The modularity and sensitivity of the platform should enable the rapid construction of sensors for a wide range of analytes, and highlights the power of de novo protein design to create multi-state protein systems with new and useful functions. A modular de novo designed biosensor platform consisting of a cage and key molecule is developed, and used to create sensors for seven distinct proteins including the spike protein from SARS-CoV-2 and anti-SARS antibodies.
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
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
1234发布了新的文献求助10
刚刚
FIGGIEKIO完成签到,获得积分10
1秒前
哔哩吧啦完成签到 ,获得积分10
1秒前
1秒前
单纯老鼠发布了新的文献求助10
1秒前
1秒前
1秒前
凶猛的兔子完成签到,获得积分10
1秒前
qx发布了新的文献求助10
2秒前
英勇半双完成签到,获得积分10
2秒前
times完成签到,获得积分20
2秒前
3秒前
王烤鸭发布了新的文献求助10
3秒前
深情帆布鞋完成签到,获得积分10
3秒前
qqnever发布了新的文献求助10
3秒前
芽芽发布了新的文献求助20
4秒前
4秒前
科研通AI6.2的应助被Tangxuanyu采纳,获得10
4秒前
忧伤的坤完成签到 ,获得积分10
4秒前
大脸憨憨发布了新的文献求助10
5秒前
5秒前
5秒前
航神完成签到,获得积分10
5秒前
小蘑菇的应助被体贴老头采纳,获得10
5秒前
5秒前
九月完成签到 ,获得积分10
5秒前
xiaolangan发布了新的文献求助10
5秒前
6秒前
平静的科研完成签到,获得积分10
6秒前
6秒前
听风完成签到,获得积分10
7秒前
柔弱紊发布了新的文献求助10
7秒前
7秒前
亿点点完成签到,获得积分20
8秒前
shawn发布了新的文献求助10
8秒前
领导范儿的应助被小木子采纳,获得10
8秒前
王烤鸭完成签到,获得积分10
9秒前
9秒前
yang发布了新的文献求助10
9秒前
李文强完成签到,获得积分10
9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
IRTSD: Open-Source Data and Toolset for Electromagnetic Transient Analysis of Disturbances and IBR Control Malfunctions in Transmission Systems 1000
Les Mots du discours 600
A Consideration on Use of Material Grades for Hull Structural Members Based on Fracture Toughness(Second Report) 500
AI Disclosure in Annual Reports: Evolution, Determinants, and Capital Market Participants’ Perceptions 500
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
Erzählte Gnade 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8110666
求助须知:如何正确求助?哪些是违规求助? 9517987
关于积分的说明 21516449
捐赠科研通 7688256
什么是DOI,文献DOI怎么找? 3411898
关于科研通互助平台的介绍 2538782
邀请新用户注册赠送积分活动 2451572