title: Uniqueness: skews bit occurrence frequencies in randomly generated fingerprint libraries.
abstract: Requiring that randomly generated chemical fingerprint libraries have unique fingerprints such that no two fingerprints are identical causes a systematic skew in bit occurrence frequencies, the proportion at which specified bits are set. Observed frequencies (O) at which each bit is set within the resulting libraries systematically differ from frequencies at which bits are set at fingerprint generation (E). Observed frequencies systematically skew toward 0.5, with the effect being more pronounced as library size approaches the compound space, which is the total number of unique possible fingerprints given the number of bit positions each fingerprint contains. The effect is quantified for varying library sizes as a fraction of the overall compound space, and for changes in the specified frequency E. The cause and implications for this systematic skew are subsequently discussed. When generating random libraries of chemical fingerprints, the imposition of a uniqueness requirement should either be avoided or taken into account.
authors.affiliation: Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, National Chiao Tung University, Engineering Bldg 4 Rm 706, 1001 Da Xue Rd., Hsin-chu, 30010, Taiwan, ROC. ngchen@nctu.edu.tw.
authors.forename: Nelson G
authors.initials: NG
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D015195:Drug Design; D008956:Models, Chemical; D015394:Molecular Structure; D054852:Small Molecule Libraries
chemical_list: D054852:Small Molecule Libraries
keywords: Algorithm; Fingerprints; Molecular modeling; Simulation