Lectures related to Quantitative structure–activity relationship

Delves into the fundamentals of medicinal chemistry, emphasizing the interrogation of Structure-Activity Relationships (SAR) in drug design.

Explores computational methods to predict COVID-19 therapeutic mechanisms through drug repurposing and machine learning.

Discusses ligand-receptor binding, drug targets, insulin physiology, NSAIDs, and tyrosine kinase inhibitors.

Explores ligand-receptor binding, drug effects, efficacy, potency, and biased agonism in pharmacodynamics.

Explores advanced chemical biology toolsets for target identification and enrichment, including stable isotope labeling and competitive ABPP.

Explores acid-sensing ion channels, drug targets, and ligand-receptor binding.