Data Analysis, Dissemination, and Systems Modeling

数据分析、传播和系统建模

• 批准号: 8058763
• 负责人: James E Galagan
• 金额: $ 58.72万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-04-01 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8058763
• 关键词: Alternative Splicing; Animals; Antibiotics; Biological; Biological Models; Biology; Blast Cell; Characteristics; Chemicals; Computer Simulation; Data; Data Analyses; Development; Enzymes; Exons; Feedback; Foundations; Gene Deletion; Gene Expression; Gene Expression Profile; Gene Proteins; Gene Structure; Genes; Genome; Genomics; Growth; Growth and Development function; Introns; Literature; Metabolic; Metabolism; Modeling; Molds; Mycelium; Neurospora; Neurospora crassa; Ontology; Pharmacologic Substance; Plants; Polyadenylation; Proteins; Publishing; Reproduction spores; Review Literature; Site; Structure; System; Systems Biology; Testing; Transcript; Translations; Untranslated Regions; Vocabulary; Work; asexual; fungus; gene function; genome database; genome-wide; killings; molecular dynamics; network models; pathogen; predictive modeling; protein aminoacid sequence; tool

The defining characteristic of systems biology is that it seeks to develop a systems view of biology as opposed to a components view. This project aims to develop¿in a feedback cycle that guides further experimentation¿predictive computational models that capture the overall dynamics of the molecular network that underlies the shift of Neurospora from mycelia growth to asexual spore development through conidiation. Initial efforts will be directed towards construction of a predictive model for regulatory networks and correlation of this network with existing and new transcriptome and genomic data. This model will be tested and refined through incorporation of new data arising from Project 3 and, most importantly, via perturbation tests facilitated through the use of strains developed in Project 1 and characterized using the tools employed in Project 3. In addition, we will develop a comprehensive model of steady state metabolism in Neurospora and, by combining this model with our regulatory network model, make testable predictions about metabolic state corresponding to different gene expression states

系统生物学的定义特征是，它试图开发一种生物学的系统视图 反对组件观点。在反馈周期中，进一步指导 实验预测计算模型是分子的总体动力学 通过神经孢子从菌丝体生长转变为无性孢子发育的网络 初始启用将针对监管网络的预测模型 网络与现有的转录和基因组数据的相关性。 通过项目3产生的新数据进行了测试和完善的结合，最重要的是，通过 通过使用项目1中开发的菌株的使用，并使用 项目3中采用的工具。此外，我们将开发一种稳态代谢的汇编模型 在Neurospora，通过将该模型与我们的监管网络模型相结合，可以进行测试 关于代谢状态与不同基因表达状态相关的预测