Home >> Letters in Drug Design & Discovery, Volume 4, Number 4

A Novel Descriptor Histogram Filtering Method for Database Mining and the Identification of Active Molecules

Authors: Wang, Yuan; Godden, Jeffrey W.; Bajorath, Jurgen

Source: Letters in Drug Design & Discovery, Volume 4, Number 4, June 2007 , pp. 286-292(7)

Publisher: Bentham Science Publishers

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Abstract:

Descriptor Histogram Filtering (DHiFi) is presented as a novel molecular similarity-based method for the identification of active compounds. Initially, molecular property descriptors are examined for distinct differences in value distributions between known active molecules and other database compounds. For each selected descriptor, values of active training set molecules are recorded in histograms and a probabilitydependent mapping and selection technique is applied to decide whether or not a test compound passes the descriptor filter. A few sequential filtering steps or a corresponding multi-dimensional filter successfully deselect most database compounds but consistently recover molecules for a number of different activity classes. Only three to seven property descriptors are required for highly selective DHiFi calculations. These findings set the newly introduced methodology apart from many other molecular similarity methods and demonstrate that evaluating only a few chemical features can be sufficient to successfully select active compounds from large databases.

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  • Letters in Drug Design & Discovery publishes original letters on all areas of rational drug design and discovery including medicinal chemistry, in-silico drug design, combinatorial chemistry, high-throughput screening, drug targets, and structure-activity relationships. The emphasis will be on publishing quality papers very rapidly. Letters will be processed rapidly by taking full advantage of Internet technology for both the submission and review of manuscripts. The journal is essential reading to all pharmaceutical scientists involved in research in drug design and discovery.
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