International q-bio Conference on Cellular Information Processing

国际q-bio细胞信息处理会议

• 批准号: 8205213
• 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/8205213
• 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. PUBLIC HEALTH RELEVANCE: Many diseases are caused by molecular changes that affect cellular regulatory systems, and accordingly, these exceedingly complex systems have been intensely studied. However our ability to make meaningful predictions about the behavior of any given regulatory system is still limited, especially when compared against our ability to make predictions about technological systems. Improving our predictive capabilities with respect to biological systems, and cellular regulatory systems in particular, is essential for a basic understanding of molecular cell biology and is likely to have practical consequences in many public health-related areas, including drug discovery, diagnosis, and patient-specific therapy. The conference supported by this renewal will address the deficiency by focusing on high precision biophysical and biochemical experiments, and on detailed mathematical modeling.

描述（由申请人提供）：本更新申请的目的是请求NIH继续支持q-bio细胞信息处理会议（http：q-bio.org），这是一个由约200名研究人员参加的年度系统生物学会议。更新后的会议赠款将支持三个具体目标，包括下一个资助期内会议的几个新方向：具体目标1。细胞调控系统的高级预测建模。这是会议的总体目标。会议的具体议题包括：（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水平的定量实验研究;（4）细胞信息处理理论和细胞调控系统的一般设计原则。（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定量行为中的作用。会议已成为处理前三个主题的重要工作论坛，我们将继续跟踪这些重要领域。第四个主题是会议的一个新重点，将在下一个供资期间继续讨论。具体目标2。促进定量生物学的新方向。在下一个资助期内，我们将积极支持在会议计划中加入更多主题（1）-（3）以外的演讲。我们的目标是推进系统生物学作为一种方法，在所有生物领域，可以受益于这种方法。具体目标3。增加妇女和少数民族在定量生物学中的参与，促进年轻研究人员的职业发展。我们将继续积极支持妇女和少数民族参加会议。许多定量生物学研究人员都有物理和数学背景，即使与细胞和分子生物学等主流生物学领域中女性和少数族裔的代表性相比，女性和少数族裔在这些领域的代表性也不足。我们将特别强调在财政上支持年轻的研究人员，与区域少数民族服务机构（MSIs）合作，并在我们的计划和咨询委员会内保持多样性。 公共卫生关系：许多疾病是由影响细胞调节系统的分子变化引起的，因此，这些极其复杂的系统已被深入研究。然而，我们对任何给定的监管系统的行为做出有意义的预测的能力仍然有限，特别是与我们对技术系统做出预测的能力相比。提高我们对生物系统，特别是细胞调控系统的预测能力，对于分子细胞生物学的基本理解至关重要，并且可能在许多公共卫生相关领域产生实际影响，包括药物发现，诊断和患者特异性治疗。此次会议将通过专注于高精度生物物理和生物化学实验以及详细的数学建模来解决这一不足。