Training

This course is aimed at academic, not-for-profit, and industrial researchers who need to perform high-throughput screens (HTS) of small molecule compounds and then analyse the data that these screens generate. Using a combination of lectures, discussions and computer-based practical sessions, you will learn how to use computational tools for the design, refinement and analysis of high-throughput screen data. 

What will I learn?

By the end of this course you will be able to:

• Use open-access resources of public screening data for analysis
• Search databases of commercially available compounds to build or complement a compound library
• Use open-access resources to select likely bioactive compounds to perform pre-screen target selection and analysis
• Select appropriate compound library subsets using a range of virtual screening techniques
• Understand the principles of quality control in high-throughput screening and the statistical methods used in quality assessment of screening results
• Analyse data from high-throughput screens
• Use the results of your data analysis to select preferred hits for confirmatory follow up
• Design follow-on experiments to confirm activity and initial structure-relationship properties
• Perform in silico profiling of hits to understand likely additional bioactivity