Bülow Lorenz, Schindler Martin, Choi Claudia, Hehl Reinhard
Institute for Genetics, Technical University of Braunschweig, Spielmannstrasse 7, D-38106 Braunschweig, Germany.
In Silico Biol. 2004;4(4):529-36.
Pathogen recognition and signal transduction during plant pathogenesis is essential for the activation of plant defense mechanisms. To facilitate easy access to published data and to permit comparative studies of different pathogen response pathways, a database is indispensable to give a broad overview of the components and reactions so far known. PathoPlant has been developed as a relational database to display relevant components and reactions involved in signal transduction related to plant-pathogen interactions. On the organism level, the tables 'plant', 'pathogen' and 'interaction' are used to describe incompatible interactions between plants and pathogens or diseases. On the molecular level, plant pathogenesis related information is organized in PathoPlant's main tables 'molecule', 'reaction' and 'location'. Signal transduction pathways are modeled as consecutive sequences of known molecules and corresponding reactions. PathoPlant entries are linked to associated internal records as well as to entries in external databases such as SWISS-PROT, GenBank, PubMed, and TRANSFAC. PathoPlant is available as a web-based service at http://www.pathoplant.de.
植物发病过程中的病原体识别和信号转导对于激活植物防御机制至关重要。为便于获取已发表的数据并允许对不同病原体反应途径进行比较研究,一个数据库对于全面概述目前已知的成分和反应来说必不可少。PathoPlant已被开发为一个关系数据库,用于展示与植物 - 病原体相互作用相关的信号转导中涉及的相关成分和反应。在生物体层面,“植物”“病原体”和“相互作用”表用于描述植物与病原体或疾病之间的不亲和相互作用。在分子层面,与植物发病相关的信息在PathoPlant的主表“分子”“反应”和“位置”中进行组织。信号转导途径被建模为已知分子和相应反应的连续序列。PathoPlant条目与相关的内部记录以及外部数据库(如SWISS-PROT、GenBank、PubMed和TRANSFAC)中的条目相链接。可通过http://www.pathoplant.de以基于网络的服务形式获取PathoPlant。