Optimization of chemical libraries by neural networks

Neural networks are finding ever-more applications in the design of combinatorial libraries. These can be divided into two types: Kohonen (self-organizing) 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 combinatorial chemistry technology.