TRAINING IN COMPUTATIONAL TOXICOLOGY

描述 本申请是匹兹堡大学第二次重新提交的申请， 计算毒理学的研究生培训项目 这个程序是一个 环境和职业卫生部（DEOH）的共同努力 在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 行政上被安置在DEOH内。 该计划旨在提供前和 博士后培训，将允许毕业生应用计算 技术建模和开发：（1）毒理学剂量反应 关系，（2）三维配体-受体相互作用，（3） 系统产生关于毒理学现象的假设，和（4） 结构活性关系（SAR）模型。 基于SAR的方法是该计划的统一主题。 自从上次重新- 提交基于生理学的药代动力学（PBPK）模型开发， 作为一个模特儿区。 该计划是高度跨学科的教师组成， 所需的课程。 赫伯特博士S. Rosenkranz是项目总监， DEOH的主席和联合主任，布鲁斯布坎南博士是一个教授， 计算机科学系。 参与的教师有广泛的 一系列的主要附属机构，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 大学和私营企业。 增加了两名教员 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和跨学科的。 所需的课程跨越毒理学（6学分），接触学科 评估（6学分），生物统计学（9学分），流行病学（2学分）， 计算科学（15学分）。 六个学分的选修课， 在这些学科中，参与生存是必需的 技能和道德方案。 总学分要求为46加30 研究学分共76学分。 出席部门会议情况 还需要参加研讨会和期刊俱乐部。

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.