Explore cheminformatics in natural product-based drug discovery through this 41-minute lecture by Dr. Johannes Kirchmair, associate professor in cheminformatics at the University of Vienna. Gain insights into the development and application of computational methods for predicting biological activities, metabolic fate, and toxicity of small molecules, including natural products, in drug discovery. Learn from the head of the Computational Drug Discovery and Design Group as he shares his expertise in this specialized field, offering valuable knowledge for those interested in the intersection of cheminformatics and natural product research.
Cheminformatics in Natural Product-Based Drug Discovery - 2022
School of Chemoinformatics in Latin America via YouTube
Overview
Syllabus
Cheminformatics in natural product-based drug discovery | Johannes Kirchmair | 2022
Taught by
School of Chemoinformatics in Latin America
Related Courses
-
Cheminformatics-Driven Discovery of Hits for Neglected and Emerging Diseases - 2022
-
Generative AI for Drug Discovery Hit Identification and Optimization
-
Methods and Models for Chemical Toxicity Prediction - 2022
-
Machine Learning in Structure-Based Drug Discovery - Day 2
-
LLMs in Drug Discovery - Day 5
-
Automating Design of Molecules via Retrieval Augmented Generative Language Models - Broad Institute Machine Learning in Drug Discovery Symposium 2023
