Digitalisation and Automation in Chemistry

Predicting structure, reactivity & properties in modern drug discovery

The 5-day seminar gives insights into the current state of the art of digitalisation, and how it is influencing the future of chemistry in drug discovery, chemical engineering and process development.

In recent years, computer assisted techniques have been integrated into chemical processes and are especially beneficial in drug discovery and toxicology. Using molecular modelling software to simulate ligand molecules in receptors is already well established in industry, but digitalisation offers far more. Structural databases, computer-assisted retrosynthesis, artificial intelligence in drug development, fully automated synthesis and other applications will change the way we work in the future.

Each day of the seminar will focus on one of the following topics:

• Molecular Modelling / Receptor Simulation using Schrödinger’s Maestro Software
• Databases and data integration with Extract, Transform and Load (ETL)
• Drug discovery: examples and case studies
• Extended reality (Augmented and Virtual)
• Laboratory Automation and Robotics - fully automated laboratories

The morning sessions include presentations, lectures and case studies while the afternoons are dedicated to topic workshops. During the week there will be one or two excursions to see applied digitalisation and automation at work in an industrial setting.

Requirement: Bring your personal notebook/laptop.

• Factsheet Digitalisation and Automation in Chemistry FHNW
  
• Conditions of Participation Continuing Education Courses HLS