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

CMGs(基因沉默计算模型)-用于RNA干扰(RNAi)、转录后基因沉默(PTGS)或基因沉默，探索RNAi技术中转基因研究、治疗干预、药物发现和新型生物制剂开发的潜力。目前的趋势是高通量RNAi筛选技术的发展和商业企业围绕这种能力建立的智力优势：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种连贯的方法中，作为理解如何设计复杂的系统生物学框架的模板。因此，CMG不仅将在其特定的应用领域提供帮助，还将帮助具有类似广泛范围的系统生物学软件项目。更广泛的影响：加强代表不足群体的参与：来自代表不足群体的学生将在VT的研究实验室度过暑假，由PI监督，以及他们的学生。每个GBCB学生都接受了生物学和计算方面的教育，因此该项目有助于满足国家(国防、公共卫生和国家优先事项)对年轻生命科学家的迫切需求，让他们接受关于生物信息学工具和方法的性质和价值的培训。此外，与传统计算机科学相比，GBCB项目可能会吸引更多的女性参与高级计算科学研究。CMGS还将作为一个基于网络的系统提供，供更广泛的生物系统建模社区使用，以支持交互预测和推理场景。我们将在弗吉尼亚理工大学GBCB计划下提供的课程中使用CMG，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.