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生物催化网络(BioCatNet):一个用于整合酶序列和生物催化实验的数据库系统。

BioCatNet: A Database System for the Integration of Enzyme Sequences and Biocatalytic Experiments.

作者信息

Buchholz Patrick C F, Vogel Constantin, Reusch Waldemar, Pohl Martina, Rother Dörte, Spieß Antje C, Pleiss Jürgen

机构信息

Institute of Technical Biochemistry, University of Stuttgart, Allmandring 31, 70569, Stuttgart, Germany.

IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.

出版信息

Chembiochem. 2016 Nov 3;17(21):2093-2098. doi: 10.1002/cbic.201600462. Epub 2016 Sep 22.

Abstract

The development of novel enzymes for biocatalytic processes requires knowledge on substrate profile and selectivity; this can be derived from databases and from publications. Often, these sources lack time-course data for the substrate or product, and an unambiguous link between experiment and enzyme sequence. The lack of integrated, original data hampers the comprehensive analysis of enzyme kinetics and the evaluation of sequence-function relationships. In order to accelerate enzyme engineering, BioCatNet integrates protein sequence, protein structure, and experimental data for a given enzyme family. BioCatNet explicitly assigns the enzyme sequence to the experimental data, which consists of information on reaction conditions and time-course data. BioCatNet facilitates the consistent documentation of reaction conditions, the archiving of time-course data, and the efficient exchange of experimental data among collaborators. Data integration is demonstrated for three case studies by using the TEED (Thiamine diphosphate-dependent Enzymes Engineering Database).

摘要

开发用于生物催化过程的新型酶需要了解底物谱和选择性;这可以从数据库和出版物中获得。通常,这些来源缺乏底物或产物的时间进程数据,以及实验与酶序列之间的明确联系。缺乏综合的原始数据阻碍了对酶动力学的全面分析以及对序列-功能关系的评估。为了加速酶工程,BioCatNet整合了给定酶家族的蛋白质序列、蛋白质结构和实验数据。BioCatNet明确地将酶序列与实验数据相关联,实验数据包括反应条件信息和时间进程数据。BioCatNet有助于一致地记录反应条件、存档时间进程数据,并促进合作者之间实验数据的高效交换。通过使用TEED(硫胺素二磷酸依赖性酶工程数据库)对三个案例研究进行了数据整合演示。

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