Chemistry and AI: high-throughput and machine learning approaches for the discovery of functional species

UNICAM – Università di Camerino
iSAS – International School of Advanced Studies
international – interdisciplinary – intersectoral

PhD course Chemical and Pharmaceutical Sciences and Biotechnology 2025

Chemistry and AI:

high-throughput and machine learning approaches for the discovery of functional species

April, 11 9-13 ChIP
AI-Powered Chemistry

April, 24 15-17 ChIP
Machine Learning and Data Science. Mathematical Background

May, 9 14-17 ChIP
Introduction to Python. Python and Libraries for ML

May, 15 14-18 ChIP
Unsupervised Learning (Part 1)
Supervised Learning

May, 16 14-18 ChIP
Unsupervised Learning (Part 2)
Introduction to Neural Network

May, 22 14-19 ChIP
Neural Network and Deep Learning

May, 23 14-19 ChIP
Bioinformatics applications. Prediction of chemical-physical properties of molecules

May, 30 15-19 ChIP
Quantitative structure activity relationship and Ligand-target interaction simulation

Total 30 h

Teachers: Michele Loreti, Michela Quadrini, Diego Dal Ben
Responsible for the Activity: Claudio Pettinari

Remote connection will be possible at the teachers’ webex rooms

Chemistry and AI: high-throughput and machine learning approaches for the discovery of functional species