International q-bio Conference on Cellular Information Processing

国际q-bio细胞信息处理会议

• 批准号: 8306784
• 负责人: Robert E Ecke
• 金额: $ 4万
• 依托单位: LOS ALAMOS NAT SECTY-LOS ALAMOS NAT LAB
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-06-10 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8306784
• 关键词: Address; Advisory Committees; Affect; Area; Behavior; Biochemical; Biological; Biology; Cellular biology; Chemistry; Complex; Diagnosis; Disease; Ecology; Educational workshop; Ensure; Evolution; Funding; Gene Expression Regulation; Genetic Models; Goals; Grant; International; Mainstreaming; Mathematics; Minority; Minority-Serving Institution; Modeling; Molecular; Molecular and Cellular Biology; National Institute of General Medical Sciences; Patients; Physics; Public Health; Research Personnel; Role; Science; Signal Transduction; Study models; System; Systems Biology; Theoretical Studies; Underrepresented Minority; United States National Institutes of Health; Woman; Work; advanced system; base; biological systems; career; design; drug discovery; improved; information processing; interest; mathematical model; predictive modeling; programs; research study; social; symposium; theories

DESCRIPTION (provided by applicant): The purpose of this renewal application is to request continued NIH support for the q-bio Conference on Cellular Information Processing (http://q-bio.org), an annual systems biology conference attended by about 200 researchers. The renewed conference grant will support three specific aims, encompassing several new directions for the conference during the next funding period: Specific Aim 1. Advance predictive modeling of cellular regulatory systems. This is the overall goal of the conference. Specific topics of interest to the conference include: (1) Modeling of genetic regulatory and signal-transduction systems; (2) Theory of cellular information processing and general design principles of cellular regulatory systems; (3) Quantitative experimental studies at the systems level that are directly relevant for physics- and chemistry-based modeling and theoretical studies; (4) Emerging areas in systems biology, such as the role of ecology and evolution in determining the quantitative behavior of cellular information processing systems. The conference has become an important forum for work addressing the first three topics and we will continue to track these important areas. The fourth topic represents a new emphasis of the conference that will be pursued during the next funding period. Specific Aim 2. Promote new directions in quantitative biology. In the next funding period, we will actively support the inclusion of more talks outside of topics (1)-(3) above in the conference program. Our goal is to advance systems biology as an approach in all biological fields that can benefit from such an approach. Specific Aim 3. Increase participation of women and minorities in quantitative biology and advance the careers of young investigators. We will continue to aggressively support the participation of women and minorities in the conference. Many researchers in quantitative biology have backgrounds in physics and mathematics, fields in which women and minorities are underrepresented even in comparison to the representation of women and minorities in mainstream biological fields, such as cellular and molecular biology. We will place special emphasis on supporting young investigators financially, in partnerships with regional minority-serving institutions (MSIs), and on maintaining diversity within our program and advisory committees.

描述(申请人提供)：本次续展申请的目的是请求美国国立卫生研究院继续支持Q-BIO细胞信息处理会议(http://q-bio.org)，)，这是一个每年约有200名研究人员参加的系统生物学会议。更新的会议赠款将支持三个具体目标，包括会议在下一个资助期的几个新方向：具体目标1.细胞调节系统的高级预测建模。这是大会的总目标。会议感兴趣的具体主题包括：(1)遗传调控和信号转导系统的建模；(2)细胞信息处理理论和细胞调控系统的一般设计原则；(3)与基于物理和化学的建模和理论研究直接相关的系统一级的定量实验研究；(4)系统生物学的新兴领域，如生态学和进化在确定细胞信息处理系统的量化行为方面的作用。会议已成为处理前三个议题的重要工作论坛，我们将继续跟踪这些重要领域。第四个议题是会议的一个新重点，将在下一个供资期间继续进行。具体目标2。推动数量生物学的新方向。在下一个资助期，我们将积极支持在会议计划中加入更多以上(1)-(3)主题以外的演讲。我们的目标是推动系统生物学作为一种方法，在所有可以从这种方法中受益的生物领域中。具体目标3.增加妇女和少数群体对数量生物学的参与，促进年轻研究人员的事业。我们将继续积极支持妇女和少数群体参加会议。数量生物学领域的许多研究人员都有物理学和数学方面的背景，在这两个领域，妇女和少数群体的代表性即使与妇女和少数群体在细胞和分子生物学等主流生物学领域的代表性相比也是不足的。我们将特别强调在财政上支持年轻的研究人员，与地区性少数群体服务机构(MSI)建立伙伴关系，并在我们的计划和咨询委员会中保持多样性。