Quantitative Analysis

定量分析

基本信息

批准号：
10612118
负责人：
THOMAS L. DANIEL
金额：
$ 22.2万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-05 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10612118
关键词：
Acceleration Animal Model Area Bioinformatics Biology Biophysics Blood flow Cell model Clinical Investigator Code Collaborations Computer Models Data Analytics Data Set Development Disease Educational workshop Electrophysiology (science)Elements Energy Supply Engineering Excretory function Experimental Designs Experimental Models Exposure to Faculty Familiarity Functional disorder Future Goals Kinesiology Link Machine Learning Markov Chains Mechanics Metabolic Metabolic Pathway Metabolism Modeling Molecular Movement Muscle Muscle Proteins Muscle function Myopathy Organ Pathologic Periodicals Physiological Postdoctoral Fellow Production Protein Dynamics Protein Engineering Proteins Reproducibility Research Research Personnel Sarcomeres Services Signal Pathway Skeletal Muscle Source Statistical Data Interpretation Students System Techniques Testing Therapeutic Tissues Training Training and Education Translational Research Universities Visualization software Washington Work analytical tool base complex data computerized tools computing resources design disease-causing mutation e-science experience experimental study insight interest large datasets machine vision member models and simulation molecular dynamics novel novel therapeutic intervention simulation skills small molecule targeted treatment theories therapeutic development therapeutic evaluation tool uptake

Acceleration Animal Model Area Bioinformatics Biology Biophysics Blood flow Cell model Clinical Investigator Code Collaborations Computer Models Data Analytics Data Set Development Disease Educational workshop Electrophysiology (science)Elements Energy Supply Engineering Excretory function Experimental Designs Experimental Models Exposure to Faculty Familiarity Functional disorder Future Goals Kinesiology Link Machine Learning Markov Chains Mechanics Metabolic Metabolic Pathway Metabolism Modeling Molecular Movement Muscle Muscle Proteins Muscle function Myopathy Organ Pathologic Periodicals Physiological Postdoctoral Fellow Production Protein Dynamics Protein Engineering Proteins Reproducibility Research Research Personnel Sarcomeres Services Signal Pathway Skeletal Muscle Source Statistical Data Interpretation Students System Techniques Testing Therapeutic Tissues Training Training and Education Translational Research Universities Visualization software Washington Work analytical tool base complex data computerized tools computing resources design disease-causing mutation e-science experience experimental study insight interest large datasets machine vision member models and simulation molecular dynamics novel novel therapeutic intervention simulation skills small molecule targeted treatment theories therapeutic development therapeutic evaluation tool uptake

展开

项目摘要

ABSTRACT – Core D Core D will provide computational modeling and statistical analysis tools and services to investigators in the CTMR. By combining approaches from biology, engineering and computing, the challenge is to transform the field of muscle and movement sciences by focusing on a new understanding of multi-scale muscle biophysics – from molecules to movement. In doing so, the unifying theory explaining how muscle develops, functions and has dysfunction with disease and impacts other physiological systems will be developed. The core will provide invaluable mulit-scale computational tools and visualization software to be used in multi-scale research on metabolism (energy supply) and mechanical (energy demand/use), how these changes in developing muscle and how they are altered in skeletal muscle disease. In doing so, the core will develop models that are informative and provide predictive power that can guide experimental design and suggest targets for development of novel therapeutic approaches to treat disease. The models and analytical tools developed in this core will accelerate the pace of translational muscle research.

摘要 - 核心D 核心D将为调查人员提供计算建模和统计分析工具和服务 CTMR。通过结合生物学，工程和计算的方法，挑战是改变肌肉和运动科学领域通过重点了解多尺度肌肉生物物理学的新理解 - 从分子到运动。这样，统一的理论解释了肌肉发展，功能如何并将与疾病功能障碍，并影响其他物理系统。核心意愿提供宝贵的Mulit尺度计算工具和可视化软件，可用于多尺度研究关于新陈代谢（能源供应）和机械（能源需求/使用），这些在发展中的变化如何肌肉及其在骨骼肌疾病中的改变。这样，核心将开发信息丰富并提供可以指导实验设计的预测能力，并提出目标的目标开发新的热方法治疗疾病。在中开发的模型和分析工具该核心将加速转化肌肉研究的速度。