Distinctive Diversity Libraries

In drug research and development (R&D), selecting compounds with favorable drug-likeness and structural diversity is pivotal to achieving multi-target coverage, a strategy that enhances the broad-spectrum efficacy of compounds against complex diseases. To ensure structural diversity, we employ the Tanimoto Coefficient and clustering algorithm—an approach that not only expands opportunities for small-molecule drug discovery but also reduces R&D costs. MCE offers a portfolio of high-quality, feature-rich diverse compound libraries. The compounds in these libraries exhibit excellent drug-likeness and comply with the "Lipinski's Rule of 5". With greater diversity in both composition scale and design intent, our libraries include 50K Diversity Library, 10K Golden Scaffold Library, Natural Product-like Library, and Good ADMET Diversity Library. With their novel structural characteristics, these specialized drug-like libraries serve as robust tools for new drug discovery.