TRAINING IN COMPUTATIONAL TOXICOLOGY

描述 这是匹兹堡大学第二次重新提交申请 计算毒理学研究生培训计划。这个程序是一个 环境及职业健康署(DEOH)的共同努力 公共卫生研究生院和计算机系 文理学院内的理科。该计划是 管理性地安置在DEOH内。该计划旨在提供预科和 博士后培训将允许毕业生应用计算 建模和开发技术：(1)毒物剂量-反应 关系，(2)三维配体-受体相互作用，(3)专家 产生关于毒物现象的假说的系统，以及(4) 机械信息结构活性关系(SAR)模型。 基于合成孔径雷达的方法是该计划的一个统一主题。自从上一次重新- 提交基于生理的药代动力学(PBPK)模型开发 已经不再是模特界了。 该计划是高度跨学科的，无论是在教师构成和 必修课程。项目主任赫伯特·S·罗森克兰兹博士 DEOH主席兼联席主任Bruce Buchanan博士是 计算机科学系。参与其中的教职员工有广泛的 包括计算机系DEOH在内的一系列主要附属机构 科学，生物统计学，匹兹堡超级计算机中心，卡内基梅隆 大学和私营企业。增加了两名教员。 自上次重新提交以来，马兹杜马尔博士(生物统计学)和坎宁安博士 (DEOH)。 博士前课程的设计是综合性和跨学科的。 必修课程包括毒物学(6学分)、接触 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 在这些学科中，参与生存是必需的 技能和道德计划。所需总学分为46分加30分 研究学分共计76学分。出席部门会议 研讨会和杂志俱乐部也是必需的。

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.