Optimization of chemical libraries by neural networks

Neural networks are finding ever-more applications in the design of combina torial libraries. These can be divided into two types: Kohonen (self-organi zing) maps, and feed-forward networks. While the number of applications is currently quite limited, a rapid increase in publications in this area can be expected in the next few years from the rapid development of general com binatorial chemistry technology.