ITR-(NHS)-(sim): Computational Models for Gene Silencing: Elucidating a Pervasive Biological Defensive Response

CMGS（基因沉默的计算模型）-用于RNA干扰（RNAi），转录后基因沉默（PTGS）或基因沉默探索转基因研究，治疗干预，药物发现和RNAi技术中新型生物制剂的开发潜力。目前的趋势是开发高通量RNAi筛选技术和围绕这些能力建立的商业企业。智力优势：CMGS系统通过将分子建模、序列分析、数据表示和推理算法融合到一个连贯的方法中，作为理解如何设计复杂系统生物学框架的模板。因此，CMGS将不仅在其特定的应用领域提供帮助，而且还将在系统生物学软件项目中提供类似的广泛范围。更广泛的影响：增强代表性不足群体的参与：来自代表性不足群体的学生将在VT的研究实验室度过夏天，由PI和他们的学生监督。每个GBCB学生都接受过生物学和计算方面的教育，因此该计划有助于立即实现国家目标。（国防、公共卫生和国家优先事项）需要对年轻的生命科学家进行生物信息学工具和方法的性质和价值方面的培训。与传统的计算机科学相比，GBCB项目可能会吸引更多的女性进入高级计算科学研究领域。CMGS也将作为基于网络的系统，供更广泛的生物系统建模社区使用，以支持交互式预测和推理方案。我们将在弗吉尼亚理工大学的GBCB计划下提供的课程中使用CMGS，展示多种调查模式的实用性。

CMGS (Computational Models for Gene Silencing) - used in RNA interference (RNAi), post-transcriptional gene silencing (PTGS), or gene silencing explores the potential for transgenic research, therapeutic intervention, drug discovery, and development of novel biological agents in RNAi technologies. A current trend is the development of high-throughput RNAi screening technologies and commercial enterprises built around such capabilities Intellectual Merits: The CMGS system, by blending molecular modeling, sequence analysis, data representation, and inferencing algorithms into a coherent methodology, serves as a template for understanding how complex systems biology frameworks can be designed. CMGS will hence not only aid in its particular domain of application but also systems biology software projects with similarly broad scope.Broader Impacts:Enhanced participation of under-represented groups: Students from under-represented groups will spend, the summer in research labs at VT, monitored by the PIs, and their students. Every GBCB student is educated both in biology and in computation, and hence the program contributes to the immediate national (defense, public health and national priorities) need for young life scientists to be trained in the nature and value of bioinformatics tools and approaches.In addition, the GBCB program may attract more women into advanced computational science research than traditional computer science.CMGS will also be delivered as a web-based system for use by the broader biological systems modeling community to support interactive prediction and inferencing scenarios. We will use CMGS in courses offered under Virginia Tech's GBCB program, demonstrating the utility of multiple modes of investigation.