首页> 美国卫生研究院文献>Antimicrobial Agents and Chemotherapy >Network Analysis of Sequence-Function Relationships and Exploration of Sequence Space of TEM β-Lactamases
【2h】

Network Analysis of Sequence-Function Relationships and Exploration of Sequence Space of TEM β-Lactamases

机译:TEM-内酰胺酶序列-功能关系的网络分析及序列空间的探索

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The Lactamase Engineering Database () was developed to facilitate the classification and analysis of TEM β-lactamases. The current version contains 474 TEM variants. Two hundred fifty-nine variants form a large scale-free network of highly connected point mutants. The network was divided into three subnetworks which were enriched by single phenotypes: one network with predominantly 2be and two networks with 2br phenotypes. Fifteen positions were found to be highly variable, contributing to the majority of the observed variants. Since it is expected that a considerable fraction of the theoretical sequence space is functional, the currently sequenced 474 variants represent only the tip of the iceberg of functional TEM β-lactamase variants which form a huge natural reservoir of highly interconnected variants. Almost 50% of the variants are part of a quartet. Thus, two single mutations that result in functional enzymes can be combined into a functional protein. Most of these quartets consist of the same phenotype, or the mutations are additive with respect to the phenotype. By predicting quartets from triplets, 3,916 unknown variants were constructed. Eighty-seven variants complement multiple quartets and therefore have a high probability of being functional. The construction of a TEM β-lactamase network and subsequent analyses by clustering and quartet prediction are valuable tools to gain new insights into the viable sequence space of TEM β-lactamases and to predict their phenotype. The highly connected sequence space of TEM β-lactamases is ideally suited to network analysis and demonstrates the strengths of network analysis over tree reconstruction methods.
机译:开发了内酰胺酶工程数据库(),以促进TEMβ-内酰胺酶的分类和分析。当前版本包含474个TEM变体。 259个变体形成了高度连接的点突变体的大规模无规模网络。该网络分为三个子网络,每个子网络通过单个表型进行了丰富:一个网络主要是2be,两个网络具有2br表型。发现有15个位置变化很大,这是大多数观察到的变异的原因。由于预期理论序列空间的相当一部分是功能性的,因此目前已测序的474个变异体仅代表功能性TEMβ-内酰胺酶变异体的冰山一角,形成了高度互连的变异体的巨大天然库。几乎50%的变体是四重奏的一部分。因此,可以将导致功能性酶的两个单突变组合为功能蛋白。这些四重奏大多数由相同的表型组成,或者相对于表型而言突变是加性的。通过从三胞胎预测四重奏,构建了3,916个未知变体。 87个变体补充了多个四重奏,因此很有可能发挥作用。 TEMβ-内酰胺酶网络的构建以及随后的聚类和四元组预测分析是有价值的工具,可用于获得对TEMβ-内酰胺酶可行序列空间的新见解并预测其表型。 TEMβ-内酰胺酶的高度连接的序列空间非常适合网络分析,并证明了网络分析相对于树重构方法的优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号