CHEMINFORMATICS DATA-MINING FOR MOLECULAR FINGERPRINT CALCULATION

用于分子指纹计算的化学信息学数据挖掘

• 批准号: 8171779
• 负责人: Xiang-Qun Xie
• 金额: $ 0.14万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171779
• 关键词: Binding; CNR2 gene; Chemicals; Computer Retrieval of Information on Scientific Projects Database; Fingerprint; Funding; G Protein-Coupled Receptor Genes; Goals; Grant; Institution; Libraries; Ligand Binding; Lipids; Membrane; Modeling; Molecular Conformation; Molecular Profiling; Molecular Structure; Preclinical Drug Evaluation; Process; Publications; Research; Research Personnel; Resources; Simulate; Smiling; Source; Structure; System; United States National Institutes of Health; Water; Work; cheminformatics; combinatorial; data mining; design; membrane model; molecular dynamics; small molecule; small molecule libraries; virtual

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 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。