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连接结合蛋白正交对的进化路径。

Evolutionary paths that link orthogonal pairs of binding proteins.

作者信息

Avizemer Ziv, Martí-Gómez Carlos, Hoch Shlomo Yakir, McCandlish David M, Fleishman Sarel J

机构信息

Department of Biomolecular Sciences, Weizmann Institute of Science, 7610001 Rehovot, Israel.

Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.

出版信息

Cell Syst. 2025 May 21;16(5):101262. doi: 10.1016/j.cels.2025.101262. Epub 2025 Apr 10.

Abstract

Some protein-binding pairs exhibit extreme specificities that functionally insulate them from homologs. Such pairs evolve mostly by accumulating single-point mutations, and mutants are selected if they exhibit sufficient affinity. Until now, finding a fully functional single-mutation path connecting orthogonal pairs could only be achieved by full enumeration of intermediates and was restricted to pairs that were mutationally close. We present a computational framework for discovering single-mutation paths with low molecular strain and apply it to two orthogonal bacterial endonuclease-immunity pairs separated by 17 interfacial mutations. By including mutations that bridge identities that could not be exchanged by single-nucleotide mutations, we discovered a strain-free 19-mutation path that was fully functional in vivo. The change in binding preference occurred remarkably abruptly, resulting from only one radical mutation in each partner. Furthermore, each of the specificity-switch mutations increased fitness, demonstrating that functional divergence could be driven by positive Darwinian selection.

摘要

一些蛋白质结合对表现出极高的特异性,在功能上使它们与同源物绝缘。这类结合对主要通过积累单点突变而进化,如果突变体表现出足够的亲和力就会被选择。到目前为止,找到连接正交对的全功能单突变路径只能通过对中间体进行完全枚举来实现,并且仅限于突变距离较近的对。我们提出了一个用于发现低分子应变单突变路径的计算框架,并将其应用于由17个界面突变分隔的两个正交细菌内切核酸酶-免疫对。通过纳入那些连接不能通过单核苷酸突变进行交换的同一性突变,我们发现了一条在体内完全功能化的无应变19突变路径。结合偏好的变化非常突然地发生,这是由于每个伙伴中仅一个激进突变导致的。此外,每个特异性转换突变都提高了适应性,表明功能分化可能由正向达尔文选择驱动。

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Evolutionary paths that link orthogonal pairs of binding proteins.连接结合蛋白正交对的进化路径。
Cell Syst. 2025 May 21;16(5):101262. doi: 10.1016/j.cels.2025.101262. Epub 2025 Apr 10.

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