Course Identification

Introduction to Drug Discovery in Weizmann institute of science
20203291

Lecturers and Teaching Assistants

Dr. Noga Kozer, Dr. Alexander Plotnikov, Dr. Haim Michael Barr
N/A

Course Schedule and Location

2020
First Semester
26/1- 30/1, 13:00-17:00, daily at G-INCPM Auditorium, Solar Tower, FGS, Lab
26/01/2020
30/01/2020
17.5

Field of Study, Course Type and Credit Points

Life Sciences: Laboratory; Elective; Regular; 0.50 points
Chemical Sciences: Laboratory; Elective; Regular; 0.50 points
Life Sciences (Molecular and Cellular Neuroscience Track): Laboratory; Elective; Regular; 0.50 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Laboratory; Elective; Regular; 0.50 points
Life Sciences (Computational and Systems Biology Track): Laboratory; Elective; Regular; 0.50 points

Comments

N/A

Prerequisites

No

Restrictions

20

Language of Instruction

English

Registration by

20/11/2019

Attendance and participation

Obligatory

Grade Type

Pass / Fail

Grade Breakdown (in %)

100%
Lab report

Evaluation Type

Laboratory

Scheduled date 1

N/A
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

4

Syllabus

The Drug Discovery unit is a part of Israel Nation Center of Personal Medicine (INCPM). Our facility is a unique one in Israel and serves as a “bridge” between academic research and pharmaceutical industry.

During the course, students will learn about principles, methods and goals of Drug Discovery and High Throughput Screening. Terminology and experimental “know how” will be discussed: theory, approaches, experimental pipeline etc. Students will practically perform different types of the experiments demonstrating HTS methods. We will perform in the lab both enzymatic and cell-based experiments. The lab work will be done in 384-well plates using automated instrumentation. To detect the experimental results we will use different plate readers and imaging gear in our HTS lab. The students will learn about data collection, data analysis and statistical considerations. The course includes a guided tour at the INCPM for demonstration of robotic systems and completely automated workflow.

Learning Outcomes

Students will be familiar with the basic principles of the drug discovery field. They will understand what are the considerations taken when designing a non-biased drug discovery project. They will have the tools to analyze High Throughput- and High Content- Screening data. They will get an introduction to how to prioritize bioactive materials and also a glimpse into chemical biology in the contest of drug discovery.

Reading List

N/A

Website

N/A