An Informatics Resource for Targeted Nanoparticle Therapeutics

靶向纳米粒子治疗的信息学资源

• 批准号: 7930500
• 负责人: David Sept
• 金额: $ 28.55万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/7930500
• 关键词: Affinity; Behavior; Biodistribution; Cancer Center; Cancer Diagnostics; Cells; Classification; Data; Databases; Development; Diagnosis; Diagnostic; Doctor of Philosophy; Drug Delivery Systems; Drug Kinetics; Drug toxicity; Drug usage; Elements; Failure; Goals; In Vitro; Information Resources; Knowledge; Ligand Binding; Modeling; Nanotechnology; Online Systems; Ontology; Pharmaceutical Preparations; Pharmacodynamics; Pharmacologic Substance; Process; Property; Research Personnel; Resource Informatics; Resources; Side; Simulate; Site; Solutions; Technology; Testing; Therapeutic; Toxic effect; Work; base; cancer Biomedical Informatics Grid; cancer prevention; cancer therapy; computer framework; cross reactivity; in vivo; nanoparticle; nanoscale; nanoscience; particle; pharmacodynamic model; pharmacokinetic model; small molecule; targeted delivery; tool; uptake; web based interface

Project IV - David Sept, Ph.D. Title: An Informatics Resource for Targeted Nanoparticle Therapeutics Each year, many billions of dollars are spent on the development and testing of new drugs for the treatment of cancer. Although these compounds perform well in pre-trial in vitro screens, their failure in vivo is typically attributed to problems with toxicity originating from misdistribution, cross-reactivity, or non-specific accumulation at other sites. Targeted delivery of high affinity drugs using nanoparticles promises to alleviate many of these difficulties; however, there are still many unknowns with respect to the physical and pharmacological properties of such nanoscale therapeutics. The focus of this project is to develop a nanoparticle informatics resource that will include a comprehensive taxonomical database of available technologies and a toolbox for pharmacokinetics and pharmacodynamics modeling of nanoparticles. This resource will be developed by a team of three computational biologists (Baker, Pappu, and Sept). It will collate information relevant to the pharmacological behavior of these nanoparticles, including the uptake, degradation and clearance of these particles, as well as the ability to conjugate each particle with binding ligands and small molecules. Additionally, the resource will develop and apply both pharmacokinetics and pharmacodynamics models to simulate the workings of targeted nanoparticles as drug delivery agents. By providing a comprehensive and centralized resource for such information, this resource will allow researchers from either the nanoscience or pharmaceutical side to find compatible technologies and solutions that will enable their product to be used in the treatment, diagnosis or prevention of cancer. In this manner, this project will directly facilitate the development of nanoparticle technologies; particularly those in Projects I - III within this SCCNE proposal.

IV项目 - David Sept博士 标题：针对目标纳米颗粒治疗的信息学资源 每年，花费数十亿美元用于开发和测试新药进行治疗 癌症。尽管这些化合物在体外筛查前的表现良好，但它们在体内的衰竭通常是 归因于毒性的问题，源自误分配，交叉反应或非特异性 在其他站点积累。使用纳米颗粒的有针对性的高亲和力药物有望减轻 许多困难；但是，关于身体和 这种纳米级治疗剂的药理特性。该项目的重点是开发 纳米颗粒信息资源将包括可用的全面分类数据库 纳米颗粒的药代动力学和药效学建模的技术和工具箱。这 资源将由三位计算生物学家（Baker，Pappu和9月）组成的团队开发。会 整理与这些纳米颗粒的药理行为相关的信息，包括摄取 这些颗粒的降解和清除，以及与结合结合每个粒子的能力 配体和小分子。此外，资源将开发和应用药代动力学和 药物动力学模型，以模拟目标纳米颗粒作为药物输送剂的工作。经过 为此类信息提供全面的集中资源，此资源将允许 来自纳米科学或药物方面的研究人员都可以找到兼容的技术和 可以将其产品用于治疗，诊断或预防癌症的解决方案。在这个 方式，该项目将直接促进纳米颗粒技术的发展。特别是那些 在此SCCNE提案中项目I -III。