权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Computational Genomics of Signal Transduction

信号转导的计算基因组学

基本信息

批准号：
7283092
负责人：
Igor B. Jouline
金额：
$ 18.48万
依托单位：
UNIVERSITY OF TENNESSEE KNOXVILLE
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-06 至 2009-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7283092
关键词：
Address Amino Acid Sequence Amino Acids Animal Model Antibiotic Resistance Architecture Area Automated Annotation Bioinformatics Biological Biological Process Biology Biomedical Research Cell physiology Chemotaxis Collaborations Communication Communities Complex Computational Biology Data Databases Development Drug Design Environment Escherichia coli Evolution Feedback Future Generations Genes Genome Genomics Goals Human Human Biology Individual Information Management Institutes Knowledge Laboratories Membrane Proteins Molecular Molecular Evolution Numbers Organism Output Pathway interactions Pattern Peer Review Peptide Sequence Determination Phylogenetic Analysis Process Prokaryotic Cells Property Protein Sequence Analysis Proteins Protocols documentation Range Rate Research Research Proposals Resources Scientist Secure Signal Transduction Signal Transduction Pathway Site Structure Structure-Activity Relationship System Technology Testing Translating USA Georgia Update Validation Virulence Western Asia Georgia antimicrobial drug computer science design genome sequencing improved improved functioning innovation member microbial microbial genome microorganism pathogen programs protein function protein protein interaction

项目摘要

DESCRIPTION (provided by applicant): The goal of this proposal is to translate genomic sequence data into high-quality biological knowledge on microbial signal transduction. Signal transduction pathways control important cellular activities ranging from virulence and antibiotic resistance in bacterial pathogens to intracellular communication and coordination of complex cellular functions in humans. Signal transduction is one of the most problematic areas for current genome annotation protocols because of the high sequence variability of input and output domains and mosaic architecture of signal transduction proteins. We will achieve the goal of this proposal via high-throughput genome processing, sophisticated computational protein sequence analysis, and collaborations with leading experimental scientists. The central questions in the biology of signal transduction are: (1) What proteins comprise signal transduction pathways and (2) How the proteins transduce signals. To address these questions, we will first develop a high-throughput computational approach to improve function prediction for signal transduction proteins in microbial genomes combined with experimental validation of selected targets by our collaborators (SPECIFIC AIM 1). Second, we will develop an innovative computational approach to predict contact sites in interacting proteins within the best-studied signal transduction pathway (SPECIFIC AIM 2). These predictions will also be validated by our collaborators. A Knowledge Environment developed under SPECIFIC AIM 3 will integrate results obtained under this proposal and provide free access to the data and computational resources. In the long term, this research will allow us to generalize the computational approaches to signal transduction developed in simple microbial systems and extend them to complex eukaryotic systems, including those in humans. This research will also have an immediate impact on understanding the biology of human pathogens and antimicrobial drug design, and contribute to improvement of automated annotation in primary sequence databases.

描述（由申请人提供）：