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Biological Knowledge Based on Genome Information

基于基因组信息的生物知识

基本信息

批准号：
08283103
负责人：
KANEHISA Minoru
金额：
$ 555.26万
依托单位：
KYOTO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research on Priority Areas (A)
财政年份：
1996
资助国家：
日本
起止时间：
1996 至 2000
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08283103/
关键词：
Genome analysis Gene function prediction Protein structure prediction Database Network Molecular interactions Pathway Genetic diseases 配列解析

项目摘要

While the complete genome sequences of a number of organisms, as well as the raft sequences of the human genome, have already been determined, functional properties are not well characterized for roughly a half of the genes in each genome. This project aimed at developing bioinformatics technologies for understanding hihgher order functional meanings and utilities of the cell or the organism from its genome information. Specifically, (1) we developed a reference database named KEGG, which contains current knowledge on protein interaction networks such as metabolic pathways, various regulatory pathways, and molecular complexes. We performed prediction of protein networks and associated cellular functions for the genomes of over 50 species. (2) We developed information technology to extract knowledge on protein names and protein-protein interactions from the text in scientific literature. (3) We developed information technology to analyze gene expression profile data, such as for detecting coexpression clusters and for predicting gene regulatory networks. (4) We continued to develop mutation database for disease related genes. The project has been instrumental in further developing the GenomeNet database service as the informatics infrastructure for biomedical research in Japan and in nurturing the bioinformatics research community by regularly organizing workshops and tutorials. The basic research results, as well as the practical database products such as KEGG, are freely made available at the GenomeNet (http://www.genome.ad.jp).

虽然许多生物体的完整基因组序列以及人类基因组的筏序列已经确定，但每个基因组中大约一半的基因的功能特性尚未得到很好的表征。该项目旨在开发生物信息学技术，以从细胞或生物体的基因组信息中了解细胞或生物体的高阶功能意义和效用。具体来说，（1）我们开发了一个名为 KEGG 的参考数据库，其中包含有关蛋白质相互作用网络的最新知识，例如代谢途径、各种调控途径和分子复合物。我们对 50 多个物种的基因组的蛋白质网络和相关细胞功能进行了预测。 (2)我们开发了信息技术，从科学文献的文本中提取有关蛋白质名称和蛋白质-蛋白质相互作用的知识。 (3)我们开发了信息技术来分析基因表达谱数据，例如检测共表达簇和预测基因调控网络。（4）持续开发疾病相关基因突变数据库。该项目有助于进一步开发 GenomeNet 数据库服务作为日本生物医学研究的信息学基础设施，并通过定期组织研讨会和教程来培育生物信息学研究社区。基础研究成果以及KEGG等实用数据库产品在GenomeNet（http://www.genome.ad.jp）上免费提供。