课题基金 / 基金详情

Systems Biology of Protein and Phenotypic Evolution

Systems Biology of Protein and Phenotypic Evolution
蛋白质和表型进化的系统生物学
批准号:
10611895
负责人:
Dennis Vitkup
金额:
$43.94万
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
未结题
起止时间:
2019-07-01 至 2025-04-30

项目摘要

项目成果

Dennis Vitkup的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Project Summary/Abstract An important and currently unsolved challenge in evolutionary systems biology is to describe how the mechanisms and interactions between different levels of biological organization shape the evolution of proteins, cellular networks, and phenotypes. Our laboratory has been interested in understanding the inter-relationships between evolution and systems and cell biology for more than a decade. We have previously carried out computational and experimental analyses exploring evolutionary processes at multiple levels of organization. In this proposal we will integrate constraints and effects at the protein, network, cellular, and phenotypic scales, towards developing an integrated and quantitative framework describing protein evolution. We will use a combined computational-experimental approach to pursue such fundamental scientific questions as: How do global protein fitness landscapes affect short- and long-term patterns of protein evolution? How do the structure and function of cellular networks affect protein evolutionary changes? What is the role of cell type- and tissue-specific constraints on protein evolution? How does the evolution of protein repertoires influence the observed patterns and rates of phenotypic evolution? Because biological systems not only constrain, but are also themselves the products of evolution, exploring the aforementioned topics will also allow us to address important biological questions. For example, how and to what extent protein expression levels and the efficiency of protein function are optimized in evolution, and how changes in cellular networks may drive microbial phenotypic evolution. In addition to understanding fundamental biological questions, proposal results will have important implications for biomedicine. Specifically, they will allow to better understand and predict the quantitative effects of genetic mutations on protein function, cellular networks, diverse cell types and developmental stages, and ultimately on species’ phenotypes.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
Systems Biology of Protein and Phenotypic Evolution
Ecological dynamics and metabolic interactions in thegut microbiome across space and time
Ecological dynamics and metabolic interactions in thegut microbiome across space and time
Ecological dynamics and metabolic interactions in thegut microbiome across space and time
海外基金