Similarity calculations using two-dimensional molecular representations

Abstract

Molecular similarity calculations are important for rational drug design. Time constraints prevent these techniques being used on large data sets or on large molecules. By reducing the molecular representation to a two-dimensional form, the alignment of the molecules can be greatly speeded up. The accuracy of the resulting similarity values can be improved by using a neural network.