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基于结构引导的远源β-内酰胺酶的SCHEMA重组

Structure-guided SCHEMA recombination of distantly related beta-lactamases.

作者信息

Meyer Michelle M, Hochrein Lisa, Arnold Frances H

机构信息

Biochemistry and Molecular Biophysics, California Institute of Technology Mail Code 210-21, California Institute of Technology Mail Code 210-41, Pasadena, CA 91125, USA.

出版信息

Protein Eng Des Sel. 2006 Dec;19(12):563-70. doi: 10.1093/protein/gzl045. Epub 2006 Nov 6.

Abstract

We constructed a library of beta-lactamases by recombining three naturally occurring homologs (TEM-1, PSE-4, SED-1) that share 34-42% sequence identity. Most chimeras created by recombining such distantly related proteins are unfolded due to unfavorable side-chain interactions that destabilize the folded structure. To enhance the fraction of properly folded chimeras, we designed the library using SCHEMA, a structure-guided approach to choosing the least disruptive crossover locations. Recombination at seven selected crossover positions generated 6561 chimeric sequences that differ from their closest parent at an average of 66 positions. Of 553 unique characterized chimeras, 111 (20%) retained beta-lactamase activity; the library contains hundreds more novel beta-lactamases. The functional chimeras share as little as 70% sequence identity with any known sequence and are characterized by low SCHEMA disruption (E) compared to the average nonfunctional chimera. Furthermore, many nonfunctional chimeras with low E are readily rescued by low error-rate random mutagenesis or by the introduction of a known stabilizing mutation (TEM-1 M182T). These results show that structure-guided recombination effectively generates a family of diverse, folded proteins even when the parents exhibit only 34% sequence identity. Furthermore, the fraction of sequences that encode folded and functional proteins can be enhanced by utilizing previously stabilized parental sequences.

摘要

我们通过重组三种天然存在的同源物(TEM-1、PSE-4、SED-1)构建了一个β-内酰胺酶文库,这三种同源物的序列同一性为34%-42%。由于不利的侧链相互作用破坏了折叠结构的稳定性,重组这种远缘相关蛋白质产生的大多数嵌合体都是未折叠的。为了提高正确折叠的嵌合体的比例,我们使用SCHEMA设计了文库,这是一种基于结构指导的方法,用于选择破坏性最小的交叉位置。在七个选定的交叉位置进行重组产生了6561个嵌合序列,这些序列与其最接近的亲本平均有66个位置不同。在553个独特的已表征嵌合体中,111个(20%)保留了β-内酰胺酶活性;该文库还包含数百种新型β-内酰胺酶。功能性嵌合体与任何已知序列的序列同一性低至70%,与平均非功能性嵌合体相比,其特征是SCHEMA破坏(E)较低。此外,许多E值低的非功能性嵌合体可以通过低错误率随机诱变或引入已知的稳定突变(TEM-1 M182T)轻易挽救。这些结果表明,即使亲本的序列同一性仅为34%,基于结构指导的重组也能有效地产生一系列多样的折叠蛋白。此外,通过利用先前稳定的亲本序列,可以提高编码折叠和功能蛋白的序列比例。

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