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用于建模氧化还原酶催化反应的统一动力学框架。

A unifying kinetic framework for modeling oxidoreductase-catalyzed reactions.

机构信息

Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.

出版信息

Bioinformatics. 2013 May 15;29(10):1299-307. doi: 10.1093/bioinformatics/btt140. Epub 2013 Apr 23.

Abstract

MOTIVATION

Oxidoreductases are a fundamental class of enzymes responsible for the catalysis of oxidation-reduction reactions, crucial in most bioenergetic metabolic pathways. From their common root in the ancient prebiotic environment, oxidoreductases have evolved into diverse and elaborate protein structures with specific kinetic properties and mechanisms adapted to their individual functional roles and environmental conditions. While accurate kinetic modeling of oxidoreductases is thus important, current models suffer from limitations to the steady-state domain, lack empirical validation or are too specialized to a single system or set of conditions.

RESULTS

To address these limitations, we introduce a novel unifying modeling framework for kinetic descriptions of oxidoreductases. The framework is based on a set of seven elementary reactions that (i) form the basis for 69 pairs of enzyme state transitions for encoding various specific microscopic intra-enzyme reaction networks (micro-models), and (ii) lead to various specific macroscopic steady-state kinetic equations (macro-models) via thermodynamic assumptions. Thus, a synergistic bridge between the micro and macro kinetics can be achieved, enabling us to extract unitary rate constants, simulate reaction variance and validate the micro-models using steady-state empirical data. To help facilitate the application of this framework, we make available RedoxMech: a Mathematica™ software package that automates the generation and customization of micro-models.

AVAILABILITY

The Mathematica™ source code for RedoxMech, the documentation and the experimental datasets are all available from: http://www.igb.uci.edu/tools/sb/metabolic-modeling.

CONTACT

pfbaldi@ics.uci.edu

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

氧化还原酶是负责催化氧化还原反应的一类基本酶,在大多数生物能量代谢途径中都至关重要。从它们在古老的前生物环境中的共同根源开始,氧化还原酶已经进化成具有特定动力学特性和机制的多样化和精细的蛋白质结构,这些特性和机制适应于它们各自的功能角色和环境条件。虽然准确的氧化还原酶动力学建模很重要,但目前的模型存在稳态域的限制、缺乏经验验证或过于专门针对单个系统或一组条件。

结果

为了解决这些限制,我们引入了一种新的统一建模框架,用于氧化还原酶的动力学描述。该框架基于一组七个基本反应,这些反应 (i) 构成了编码各种特定微观酶内反应网络 (微观模型) 的 69 对酶状态转换的基础,(ii) 通过热力学假设导致各种特定的宏观稳态动力学方程 (宏观模型)。因此,可以实现微观和宏观动力学之间的协同桥梁,使我们能够提取单一速率常数、模拟反应方差,并使用稳态经验数据验证微观模型。为了帮助应用这个框架,我们提供了 RedoxMech:一个 Mathematica™软件包,它可以自动生成和定制微观模型。

可用性

RedoxMech 的 Mathematica™源代码、文档和实验数据集均可从以下网址获得:http://www.igb.uci.edu/tools/sb/metabolic-modeling。

联系人

pfbaldi@ics.uci.edu

补充信息

补充数据可在生物信息学在线获得。

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