4.7 Article

Proteins from an Unevolved Library of de novo Designed Sequences Bind a Range of Small Molecules

期刊

ACS SYNTHETIC BIOLOGY
卷 1, 期 4, 页码 130-138

出版社

AMER CHEMICAL SOC
DOI: 10.1021/sb200018e

关键词

protein design; binary code; small molecule microarray; four helix bundle; molecular evolution

资金

  1. NSF [MCB-0817651, MCB-1050510]
  2. NCI Initiative for Chemical Genetics [N01-CO-12400]
  3. Machiah Foundation [20070117]
  4. Div Of Molecular and Cellular Bioscience
  5. Direct For Biological Sciences [1050510] Funding Source: National Science Foundation

向作者/读者索取更多资源

The availability of large collections of de nova designed proteins presents new opportunities to harness novel macromolecules for synthetic biological functions. Many of these new functions will require binding to small molecules. Is the ability to bind small molecules a property that arises only in response to biological selection or computational design? Or alternatively, is small molecule binding a property of folded proteins that occurs readily amidst colections of unevolved sequences? These questions can be addressed by assessing the binding potential of de nova proteins that are designed to fold into stable structures, but are naive in the sense that they (i) share no significant sequence similarity with natural proteins and (ii) were neither selected nor designed to bind small molecules. We chose three naive proteins from a library of sequences designed to fold into 4-helix bundles and screened for binding to 10,000 compounds displayed on small molecule microarrays. Several binders were identified, and binding was characterized by a series of biophysical assays. Surprisingly, despite the similarity of the three de nova proteins to one another, they exhibit selective ligand binding. These findings demonstrate the potential of novel proteins for molecular recognition and have significant implications for a range of applications in synthetic biology.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据