The great versatility of molecular fingerprints in chemoinformatics has increased their usefulness in the computer-aided drug design process . Fingerprints are particularly useful for quantifying molecular similarity, during database searching or clustering processes, and in the development of classification or predictive models . Molecular diversity is usually quantified using a similarity coefficient, which is typically, although not necessarily the most adequate in all cases, the Tanimoto coefficient .