How lead optimization is done in hts?

Lead optimization in high-throughput screening (HTS) involves refining initial hits from screening assays to enhance their potency, selectivity, and drug-like properties. This process typically includes iterative cycles of structure-activity relationship (SAR) analysis, where chemical modifications are made to improve efficacy and reduce toxicity. Advanced computational tools and techniques, such as molecular modeling and machine learning, are often employed to predict outcomes and streamline the design of new analogs. Ultimately, the goal is to identify a lead compound that meets the desired criteria for further development into a viable drug candidate.