Proteome Mapping & Electrophile Responsivity

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Related lectures (32)

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Covers medicinal chemistry basics, high-throughput screening, lead discovery milestones, and compound selectivity in drug optimization.

Deep Generative Models in Drug Discovery

Explores the application of deep generative models in drug discovery, focusing on designing small molecules and optimizing molecular structures.

Preclinical Animal Models: Selection & Rationale

Explores the selection and rationale behind preclinical animal models in drug discovery, emphasizing understanding mechanisms of action and domain specificity.

Drug Discovery: Computational Approaches

Explores the EXSCALATE4COV project, focusing on computational drug discovery for COVID-19 treatments and the collaboration between academia and industry.

Nuclear Receptors: Drug Targets

Explores nuclear receptors, their role in drug pharmacology, and physiological functions in adipose tissue and glucose homeostasis.

Drug Targets: Adrenergic Signaling

Explores drug targets and adrenergic signaling, covering receptors, enzymes, and transporter proteins.

Activity-based Protein Profiling: Druggable Sites Identification

Explores Activity-based Protein Profiling for druggable site identification and strategies to minimize off-target reactivity of covalent inhibitors.

Selective Drug Targeting Mechanisms

Explores selective drug targeting mechanisms, resistance development, tuberculosis incidence, BCR-ABL mutations, tyrosine kinase inhibitors, drug toxicity, interactions, and toxicology studies.

Identifying Drug Targets with Thermal-Shift Profiling

Showcases correlations between different organs' thermal profiles to identify drug targets.

Predicting COVID-19 Therapeutic Mechanisms

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