TRAINING IN COMPUTATIONAL TOXICOLOGY

计算毒理学培训

• 批准号: 6762477
• 负责人: Bruce Robert Pitt
• 金额: $ 9.43万
• 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 2006-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6762477
• 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

项目成果

A Second Look at Canonical Sampling of Biomolecules using Replica Exchange Simulation.

• DOI: 10.1021/ct0600464
• 发表时间: 2006-01
• 期刊: Journal of chemical theory and computation
• 影响因子: 5.5
• 作者: D. Zuckerman;E. Lyman

Structural concepts in cancer prevention.

癌症预防的结构概念。

• 发表时间: 2002
• 期刊: European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP).
• 作者: Thampatty,BhavaniP;Rosenkranz,HerbertS
• 通讯作者: Rosenkranz,HerbertS

Allergic contact dermatitis and its relationship to carcinogenicity.

过敏性接触性皮炎及其与致癌性的关系。

• DOI: 10.1016/s0027-5107(01)00220-2
• 发表时间: 2001
• 期刊: Mutation research
• 作者: Rosenkranz,HS

Synergy between systemic toxicity and genotoxicity: relevance to human cancer risk.

全身毒性和遗传毒性之间的协同作用：与人类癌症风险的相关性。

• DOI: 10.1016/s0027-5107(03)00130-1
• 发表时间: 2003
• 期刊: Mutation research
• 作者: Rosenkranz,HerbertS

SAR modeling: effect of experimental ambiguity.

SAR 建模：实验模糊性的影响。

• DOI: 10.2174/1386207033329742
• 发表时间: 2003
• 期刊: Combinatorial chemistry & high throughput screening
• 影响因子: 1.8
• 作者: Thampatty,BhavaniP;Rosenkranz,HerbertS
• 通讯作者: Rosenkranz,HerbertS