We have created and made publicly available a database of over a billion easily synthesizable compounds suited for drug design. We have shown that the language pair CHMTRN/PATRAN, originally stemming from the chemical expert systems LHASA, can be adopted and extended in a highly productive way for a modern approach of large library design.