Computational Approaches for Target Identification and Validation
Computational Approaches for Target Identification and Validation explores how in silico tools are revolutionizing the early stages of drug discovery by uncovering and confirming viable biological targets. This session covers methods such as network pharmacology, systems biology modeling, reverse docking, and machine learning-based target prediction. These approaches help identify disease-relevant proteins, predict drug-target interactions, and assess target druggability with greater speed and accuracy. Emphasis is placed on integrating multi-omics data, pathway analysis, and virtual screening to streamline validation processes and reduce experimental costs.
• Network pharmacology and systems biology
• In silico off-target prediction
• Multi-target drug design
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Computational Approaches for Target Identification and Validation Conference Speakers
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