Statistics in Drug Discovery

仅由行业支持的学生通常参与解决公司的日常问题，他们没有机会进行研究，以帮助他们了解所遇到的基本问题。该项目为两名学生提供资金，使他们的一半时间用于研究通过公司项目确定的新机会，其余时间用于解决公司的日常问题。该项目的公司是葛兰素威康（GW），与S。Stanley Young担任行业导师。具体目标包括开发用于以下的方法：（a）在关于化合物效力的合并数据的背景下进行变量选择;（B）使用合并数据来阐明单个化合物的化学结构特征与化合物将具有生物效力或将限制生物效力的概率之间的关系;及（c）仅根据化合物的化学结构特征预测其效能。学生将获得制定研究问题的经验，评估项目对公司运营和科研的影响，并向不同学科的个人进行口头和书面报告。 这一提议也将影响GW的运营。 由于公司的科学家参与了该计划，开发的程序将更适合他们的应用，公司有可能从这些研究中发明有利可图的产品。 该GOALI项目由MPS多学科活动办公室（OMA）和数学科学部（DMS）联合支持。

Students who are supported solely by industry are typically so involved with solving the company's daily problems that they do not have opportunities for conducting research to aid their understanding of the basic problems encountered. This project provides funding for two students so that half their time will be devoted to research on new opportunities identified through company projects and the remaining time will be devoted to working on the company's daily problems. The company identified for this project is Glaxo Wellcome (GW), with Dr. S. Stanley Young serving as industry mentor. Specific goals include developing methods for: (a) variable selection in the context of pooled data on compound potency; (b) using pooled data for elucidating the relationship between the chemical structural features of individual compounds and the probabilities that the compound will be biologically potent or will restrict biological potency; and (c) predicting the potencyof an individual compound solely based on its chemical structural features.Students will gain experience in formulating research problems, evaluating project impacts on the company's operation and on scientific research, and making oral and written presentations to individuals from different disciplines. This proposal will also impact GW's operations. Because company scientists are involved in the program, the procedures developed will be more suitable for their applications and there is a potential for the company to invent profitable products resulting from these studies. This GOALI project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).