TRAINING IN COMPUTATIONAL TOXICOLOGY

计算毒理学培训

• 批准号: 6604002
• 负责人: HERBERT S ROSENKRANZ
• 金额: $ 9.02万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2005-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6604002
• 关键词: TRAINING; COMPUTATIONAL; TOXICOLOGY

DESCRIPTION This application is the second re-submission of the University of Pittsburgh's graduate training program in computational toxicology. This program is a joint effort of the Department of Environmental and Occupational Health (DEOH) within the Graduate School of Public Health and the Department of Computer Sciences within the School of Arts and Sciences. The program is administratively housed within the DEOH. The program seeks to offer pre- and postdoctoral training that will allow graduates to apply computational techniques to model and develop: (1) toxicological dose-response relationships, (2) three-dimensional ligand-receptor interactions, (3) expert systems to generate hypotheses regarding toxicological phenomena, and (4) mechanistically informative structure activity relationship (SAR) models. SAR-based approaches are a unifying theme of this program. Since the last re- submission physiologically based pharmacokinetic (PBPK) model development has been dropped as a modeling area. The program is highly interdisciplinary in both the makeup of the faculty and the required curriculum. Dr. Herbert S. Rosenkranz, the Program Director, is chair of DEOH and the co-Director, Dr. Bruce Buchanan is a Professor in Department of Computer Sciences. The involved faculty members have a broad range of primary affiliations including the DEOH, Department of Computer Sciences, Biostatistics, Pittsburgh Supercomputer Center, Carnegie Mellon University, and private industry. Two additional faculty have been added since the last re-submission, Dr. Mazdumar (Biostatistics) and Dr. Cunningham (DEOH). The predoctoral curriculum is designed to be integrated and interdisciplinary. Required courses span the disciplines of toxicology (6 credits), exposure assessment (6 credits), biostatistics (9 credits), epidemiology (2 credits), and computational sciences (15 credits). Six credit hours of electives from among these disciplines are required as is participation in the Survival Skills and Ethics Program. Total course credits required are 46 plus 30 research credits for a total of 76 credits. Attendance at departmental seminars and journal club is also required.

描述 该申请是匹兹堡大学第二次重新提交 计算毒理学研究生培训计划。 这个程序是一个 环境与职业健康部（DEOH）的共同努力 公共卫生研究生院和计算机系 艺术与科学学院内的科学。 该计划是 行政部门设在 DEOH 内。 该计划旨在提供前期和 博士后培训将使毕业生能够应用计算 建模和开发技术：(1) 毒理学剂量反应 关系，(2) 三维配体-受体相互作用，(3) 专家 产生有关毒理学现象的假设的系统，以及（4） 机械信息丰富的结构活动关系（SAR）模型。 基于 SAR 的方法是该计划的统一主题。 自从上次重新 基于生理学的药代动力学 (PBPK) 模型开发已提交 已被删除为建模区域。 该项目在师资构成和人员构成上都具有高度跨学科性。 所需的课程。 项目总监 Herbert S. Rosenkranz 博士是 DEOH 主席和联合主任 Bruce Buchanan 博士是 计算机科学系。 参与的教师具有广泛的 主要隶属关系范围包括 DEOH、计算机系 科学、生物统计学、匹兹堡超级计算机中心、卡内基梅隆大学 大学、私营企业。 新增两名教师 自上次重新提交以来，Mazdumar 博士（生物统计学）和 Cunningham 博士 （DEOH）。 博士前课程的设计是综合性和跨学科的。 必修课程涵盖毒理学（6 学分）、暴露等学科 评估（6学分）、生物统计学（9学分）、流行病学（2学分）、 和计算科学（15 学分）。 六个学分的选修课 这些学科中的一项是必需的，就像参与生存一样 技能和道德计划。 所需课程总学分为 46 加 30 研究学分总计76学分。 出席部门会议 还需要研讨会和期刊俱乐部。