Es ist eine neuere Version 2021W dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden.
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
1,5 ECTS
M1 - Master's programme 1. year
Computer Science
Günter Klambauer
1 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Artificial Intelligence 2020W
Objectives
This course presents artificial intelligence methods in Life Sciences, concretely in drug discovery, pharmacology, toxicology and bioinformatics. The course will demonstrate the application and use of machine learning in Life Sciences, with the focus on the field of small molecules and drug design. Both theoretical foundations of methods as well as basics of the implementation of those will be given.
Subject
Basic machine learning methods in Life Sciences
Molecular representation
Chemical structure information
Chemical descriptors and fingerprints
Advanced machine learning methods in Life Sciences
Molecule kernels
QSAR
Virtual Screening
Drug target prediction
Graph convolutions
Multi-task learning
Active learning
Generative models for molecules
Criteria for evaluation
Language
English
Changing subject?
No
Corresponding lecture
in collaboration with 993TALSALSU20: UE Artificial Intelligence in Life Sciences (1.5 ECTS) equivalent to 993TALSALSK19: KV Artificial Intelligence in Life Sciences (3 ECTS)
