Bio-QuBIC: Causes of Robustness and Vulnerability in Real-world Networks: Lessons from Molecular Biology

EIA-0130059 Animesh RayKeck研究生院题目：真实世界网络中鲁棒性和脆弱性的原因：分子生物学的教训自然网络（如互联网，电源电网或细胞的分子调节电路）对扰动的脆弱性是一个重要的研究领域。 以前的工作传统上涉及静态网络或计算机模拟的观察，并揭示了某些一般的基本性质。 具体来说，通过直接实验操作来研究一个有代表性的自然网络，应该可以阐明大多数网络的一般性质。 在芽殖酵母细胞核中调节RNA分子合成的分子机制形成了一个天然的网络，可以通过实验干扰，并通过DNA微阵列上的转录谱研究其影响。 在最初的资助期间，研究这个自然网络的一个子部分（由大约300个节点组成）的响应，作为基因敲除突变形式的精确扰动的函数。一个可查询的，静态的，数据库模型的网络，这是查询简单的攻击计划，并测试响应与实验结果的一致性。 这种相互作用使得这种研究复杂网络性质的经验方法的原理证明得以证明。 从这些研究中获得的见解正在形成对复杂网络特性进行更复杂调查的基础。

EIA-0130059Animesh RayKeck Graduate InstituteTitle: Causes of Robustness and Vulnerability in Real-world Networks: Lessons from molecular biologyVulnerability of natural networks (such as the Internet, power supply grid, or molecular regulatory circuits of cells) to perturbations is an important area of study. Prior work has traditionally involved observations on static networks or on computer simulations, and has revealed certain general fundamental properties. Specifically, the study of one representative natural network by direct experimental manipulation should illuminate general properties of most networks. The molecular machinery regulating the synthesis of RNA molecules in the nucleus of budding yeast forms a natural network that can be experimentally perturbed, and their effects studied by transcriptional profiling on DNA microarrays. In this initial funding period, study of the responses of a sub-section (comprised of approximately 300 nodes) of this natural network as a function of precise perturbations in the form of gene knockout mutations. A queriable, static, database model of the network is being made, which is queried by simple attack plans, and responses are tested for consistency with experimental results. This interplay is allowing a proof-of-principle demonstration of this empirical approach to studying properties of complex networks. Insights obtained from these studies is forming the basis of more sophisticated investigation of complex network properties.