REPRESENTATION OF MOLECULAR ELECTROSTATIC POTENTIALS BY TOPOLOGICAL FEATURE MAPS

The self-organizing properties of a Kohonen neural network can be used for the generation of two-dimensional maps of molecular surfaces. Pro perties of such surfaces such as the molecular electrostatic potential can be visualized in a single map. Such maps allow the comparison of sets of molecules having common three-dimensional features or exhibiti ng common biological activity.