Activity-Based Protein Profiling for Drug Discovery | ABPP Webinar

Added:

ABPP Fundamentals
Origins of ABPP
Probe Advancements
In Vivo Imaging
Broad Proteome Profiling
Covalent Drug Impact
Warhead Expansion
Q&A: Probe Chemistry
Q&A: Novel Targets

ABPP Fundamentals

2:02
Playing Section
  • 1

    Activity-based protein profiling characterizes protein activity, not just abundance.

  • 2

    Uses reactive probes targeting specific enzyme classes for visualization and enrichment.

Fundamentals of enzyme kinetics and catalytic mechanisms, particularly how active sites interact with substrates and covalent inhibitors.
Basic organic chemistry principles, including nucleophilic substitution, electrophilic addition, and bioorthogonal conjugation reactions like click chemistry.
Core concepts in proteomics, specifically how mass spectrometry and liquid chromatography are used to identify and quantify proteins in complex biological samples.
An understanding of the traditional drug discovery workflow, focusing on the challenges of target identification and selectivity profiling.
Principles of chemical probe design, including how to optimize reactive 'warheads', reporter tags, and selectivity filters for specific enzyme families.
Competitive ABPP (Activity-Based Protein Profiling) methodologies for high-throughput screening to assess off-target drug interactions and selectivity proteome-wide.
In vivo and in situ chemoproteomics, applying ABPP to study target engagement and drug efficacy directly inside living cells or animal tissues.
Translational clinical applications of ABPP, such as identifying novel disease biomarkers, patient stratification, and monitoring target occupancy in clinical trials.
6.1K views95likes53:22@collaborativedrugdiscovery8352Original Release: 2022-05-06

Activity-based protein profiling (ABPP) is a chemical proteomics technology that uses reactive probes to visualize and characterize enzyme activities in complex proteomes, enabling identification of novel therapeutic targets and accelerating drug discovery by distinguishing active enzymes from inactive ones, thereby overcoming limitations of traditional genomic and proteomic approaches that only measure protein abundance.