CHEMINFORMATICS DATA-MINING FOR MOLECULAR FINGERPRINT CALCULATION

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 项目1.我们正在建设10亿个小分子化学(或1B)库，以促进化学信息学研究和化学库的设计，以辅助虚拟药物筛选或组合化学库的设计。作为目标的一部分，我们将需要访问PSC的集群，以允许我们将化学库的SMILE格式转换为2D分子指纹格式，然后我们可以将2D指纹实现到1B库中，在其中我们已经开发了分子结构搜索引擎和平台。项目2。我们将继续进行MD模拟，以完善预测的3DGPCRCB2受体结构模型(初步工作已完成，已发表两篇论文)。进一步的分子动力学(MD)计算膜模型中的3DCB2受体结构(在脂质/水模拟的双层膜体系中)。如此大型的生物系统需要高功率的计算设施，可用@PSC。此外，我们还将探索活性配体的结合构象，并使用量子化学方法(包括从头计算的高斯方法)进一步评估结合能。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Project 1. We are in process of building a 1 billion of small molecule chemical (or 1B) library to facilitate the cheminformatics studies and chemical library design in aid of virtual drug screening or combinatorial chemical library design. As a part of goals, we will need to access the cluster at PSC to allow us to convert the chemical library SMILE format to 2D molecular fingerprints format, and then we can implement the 2D fingerprints into the 1B library in which we have already developed the molecular structure search engine and platform. Project2. We will continue the MD simulations to refine the predicted 3D GPCR CB2 receptor structure models (preliminary work completed with two publications). Further molecular dynamics (MD) calculations of the 3D CB2 receptor structure in membrane model (in a lipid/water simulated bilayer membrane system). Such a large biosystem requires high power computing facility that is available @PSC. In addition, we will explore the active ligand binding conformations and further evaluate the binding energy using QM approaches, including GAUSSIAN for ab initio computations