A ligand binding assay is a laboratory technique used to measure the interaction between a ligand (a molecule of interest) and its binding partner. This type of assay is commonly employed in various fields, such as pharmacology, biochemistry, and clinical diagnostics, to quantify the concentration of specific molecules and study their interactions. Traditionally, the method optimization involves many titration experiments. AI has the potential to significantly accelerate and enhance the assay development process by leveraging computational power to analyze complex data, optimize experimental parameters, and suggest optimal strategies.
Learning Objectives:
• Learn the principle of AI approach in data analysis and pattern recognition, modeling and prediction, model validation and refinement, and complex data integration.
• Learn the potential AI application for bioanalytical method development in supporting large molecule drug development.
• Learn the opportunities to develop an AI application for method optimization