Drug Discovery

Drug Discovery

课程
en
英语
9 时
此内容评级为 4.2308/5
来源
  • 来自www.coursera.org
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  • 3 序列
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课程详情

教学大纲

  • Week 1 - Welcome!
     
  • Week 1 - Pharmaceutical & Biotechnology Industry Landscape
    In this module course lead Dr. Williams Ettouati begins by giving a landscape overview of the Pharma and Biotechnology landscape.
  • Week 2 - Drug Discovery: Proteomics, Genomics
    This week we will be hearing from Phillip Bourne, PhD. Dr. Bourne was, at the time of this recording, the Associate Vice Chancellor for Innovation and Industrial Alliances in the UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences. Since that time, he...
  • Week 2 - Compound Selection & Preclinical Studies
    This week we will hear from Ronald Christopher, Ph.D. Dr. Ronald Christopher, Vice President of Preclinical Trials at Arena Pharmaceuticals.
  • Week 3 - Challenges in Fragment Based Drug Discovery for Protein Kinases
    In this module we will hear from Stephen Burley, M.D., Ph.D. At the time of this recording, Director of the Center for Integrative Proteomics at Rutgers University. He is now the Director of the Protein Data Bank and remains an Adjunct Professor at the UCSD ...
  • Week 3 - Key Concepts in Drug Delivery
    This module we hear from Professor of Clinical Pharmacy and Pediatrics, Brookie Best, Pharm. D., of UCSD's Skaggs School of Pharmacy and Pharmaceutical Sciences.

先决条件

没有。

讲师

Williams S. Ettouati, Pharm.D.
Director, Industrial Relations & Development; Health Sciences Associate Clinical Professor, N.S.
Skaggs School of Pharmacy and Pharmaceutical Sciences

Joseph D. Ma
Associate Professor of Clinical Pharmacy
Skaggs School of Pharmacy and Pharmaceutical Sciences

编辑

加州大学圣地亚哥分校是位于加利福尼亚州圣地亚哥的一所公立赠地研究型大学。加州大学圣地亚哥分校成立于 1960 年,位于斯克里普斯海洋学研究所附近,是加州大学十个校区中最南端的一个,提供 200 多个本科和研究生学位课程,在校本科生 33,096 人,研究生 9,872 人。

加州大学圣地亚哥分校被认为是世界上最好的大学之一。多份出版物将加州大学圣地亚哥分校的生物科学系和计算机科学系评为世界前十名。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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