The DrugBank database is a unique bioinformatics and cheminformatics resource that combines detailed drug (i.e. chemical, pharmacological and pharmaceutical) data with comprehensive drug target (i.e. sequence, structure, and pathway) information. The paper is : DrugBank 4.0: shedding new light on drug metabolism. Law V, Knox C, Djoumbou Y, Jewison T, Guo AC, Liu Y, Maciejewski A, Arndt D, Wilson M, Neveu V, Tang A, Gabriel G, Ly C, Adamjee S, Dame ZT, Han B, Zhou Y, Wishart DS. Nucleic Acids Res. 2014 Jan 1;42(1):D1091-7. We are grateful to the authors for creating and curating this resource, and for allowing us to incorporate its structures into ZINC.
We assess the chemical diversity of a subset by clustering the molecules. First, we sort ligands by increasing molecular weight. Then, we use the SUBSET 1.0 algorithm ( Voigt JH, Bienfait B, Wang S, Nicklaus MC. JCICS, 2001, 41, 702-12) to progressively select compounds that differ from those previously selected by at least the Tanimoto cutoff, using ChemAxon default fingerprints. The resulting representatives have two interesting properties:
|Tanimoto Cutoff Level||60%||70%||80%||90%||100%|
|Number of Representatives||1,585||2,250||2,889||3,630||4,751|
We compute the physical properties of each molecule in the subset, and graph them below.
Download Calculated Physical Properties
|Format||Reference(pH 7)||Mid(pH 6-8)||High(pH 8-9.5)||Low(pH 4.5-6)||Download
|MOL2||All||All||All||All||Single Usual Metals All||Single Usual Metals All|
|SDF||All||All||All||All||Single Usual Metals All||Single Usual Metals All|
|Flexibase||Not Available||Not Available||Not Available||Not Available|