GSTDTAP
DOI10.1126/science.aax8780
Computational design of a modular protein sense-response system
Glasgow, Anum A.1; Huang, Yao-Ming1,8; Mandell, Daniel J.1,2,9; Thompson, Michael1; Ritterson, Ryan1,10; Loshbaugh, Amanda L.1,3; Pellegrino, Jenna1,3; Krivacic, Cody1,4; Pache, Roland A.1,11; Barlow, Kyle A.1,2,12; Ollikainen, Noah1,2; Jeon, Deborah1; Kelly, Mark J. S.5; Fraser, James S.1,3,6; Kortemme, Tanja1,2,3,4,6,7
2019-11-22
发表期刊SCIENCE
ISSN0036-8075
EISSN1095-9203
出版年2019
卷号366期号:6468页码:1024-+
文章类型Article
语种英语
国家USA; Denmark
英文摘要

Sensing and responding to signals is a fundamental ability of living systems, but despite substantial progress in the computational design of new protein structures, there is no general approach for engineering arbitrary new protein sensors. Here, we describe a generalizable computational strategy for designing sensor-actuator proteins by building binding sites de novo into heterodimeric protein-protein interfaces and coupling ligand sensing to modular actuation through split reporters. Using this approach, we designed protein sensors that respond to farnesyl pyrophosphate, a metabolic intermediate in the production of valuable compounds. The sensors are functional in vitro and in cells, and the crystal structure of the engineered binding site closely matches the design model. Our computational design strategy opens broad avenues to link biological outputs to new signals.


领域地球科学 ; 气候变化 ; 资源环境
收录类别SCI-E
WOS记录号WOS:000498849000047
WOS关键词HIGH-AFFINITY ; DOMAIN ; STABILITY ; COMPLEX ; MUTAGENESIS ; VALIDATION ; STRATEGIES ; PREDICTION ; ACCURACY ; CRYSTALS
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/226251
专题环境与发展全球科技态势
作者单位1.Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94143 USA;
2.Univ Calif San Francisco, Bioinformat Grad Program, San Francisco, CA 94143 USA;
3.Univ Calif San Francisco, Biophys Grad Program, San Francisco, CA 94143 USA;
4.Univ Calif San Francisco, UC Berkeley UCSF Grad Program Bioengn, San Francisco, CA 94143 USA;
5.Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA;
6.Univ Calif San Francisco, Quantitat Biosci Inst, San Francisco, CA 94143 USA;
7.Chan Zuckerberg Biohub, San Francisco, CA 94158 USA;
8.23andMe Inc, Therapeut, San Francisco, CA USA;
9.GRO Biosci, Boston, MA USA;
10.Gryphon Sci LLC, Takoma Pk, MA USA;
11.Novozymes AS, Biologiens Vej 2, DK-2800 Lyngby, Denmark;
12.Adimab LLC, Palo Alto, CA USA
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GB/T 7714
Glasgow, Anum A.,Huang, Yao-Ming,Mandell, Daniel J.,et al. Computational design of a modular protein sense-response system[J]. SCIENCE,2019,366(6468):1024-+.
APA Glasgow, Anum A..,Huang, Yao-Ming.,Mandell, Daniel J..,Thompson, Michael.,Ritterson, Ryan.,...&Kortemme, Tanja.(2019).Computational design of a modular protein sense-response system.SCIENCE,366(6468),1024-+.
MLA Glasgow, Anum A.,et al."Computational design of a modular protein sense-response system".SCIENCE 366.6468(2019):1024-+.
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