BINESA -生物化学网络结构的进化建模软件工具

T. Rubina, E. Stalidzans
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引用次数: 3

摘要

不同类型的生化网络如转录调控、基因调控、代谢、蛋白质相互作用和信号转导网络等已被广泛研究。研究方向之一是生物化学网络的拓扑性质及其结构演化。早期的研究清楚地表明,生化网络在其网络结构上与随机网络有很大的不同。其原因可能是基于突变和选择的进化,以及网络中特定路径对生物体生存的不同重要性。这将有助于研究和估计进化过程中不同类型突变引起的网络结构变化,如点突变、错义突变、无义突变、核苷酸倒置、基因倒置、重复、缺失和易位突变。BINESA(生化网络结构分析仪)是一个独立的软件工具,用于建立在底层人工基因组进化变化基础上的生化网络结构的进化建模。本软件是在Windows操作系统下使用Microsoft Access开发的,采用Visual Basic编程语言编写。BINESA有一个存储网络结构和人工基因组数据的数据库。该工具提供了对生化网络结构演化动态的探索,支持SBML和GML模型的导入和导出,允许以图形形式将网络结构可视化,直观地标记出不同重要性的反应,并对生化网络结构进行拓扑分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
BINESA — A software tool for evolution modelling of biochemical networks' structure
Biochemical networks of different types such as transcription regulatory, gene regulation, metabolic, protein interaction and signal transduction networks have been extensively studied. One of research directions is related with topological properties of biochemical networks and their structure evolution. Earlier research clearly shows that biochemical networks differ considerably from random ones in their network structure. The reason could be mutation and selection based evolution combined with different importance of particular paths of the network for the survival of an organism. It would be useful to investigate and estimate the changes of network structure that are caused by different types of mutation during the evolution, such as point mutations, missense, nonsense mutations, nucleotide inversion, gene inversion, duplication, deletion, and translocation mutations. BINESA (BIochemical NEtwork Structure Analyser) is a standalone software tool developed for evolution modelling of a biochemical network structure founded on evolutionary changes of an underlying artificial genome. This software tool is written in Visual Basic programming language and developed for Windows operating system using Microsoft Access. BINESA has a database for storing of network structure and artificial genome data. This tool provides the exploration of the evolution dynamics of biochemical network structure, supports SBML and GML models import and export, allows visualization of the network structure in graph form visually marking out reactions of different importance and perform a topological analysis of the biochemical network structure.
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