DrugBank-Street Drugs


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.

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Chemical Diversity and Clustering

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:

  • 1) Each representative differs from all the others by at least the Tanitmoto cutoff and
  • 2) All the molecules in the subset are within the Tanimoto cutoff of at least one representative.
Thus the representatives can be said to "cover" the chemical space of the subset at a given Tanimoto level. N/A indicates that clustering is pending.

Tanimoto Cutoff Level 60% 70% 80% 90% 100%
Number of Representatives 43 59 81 103 218

Physical Property Distributions

We compute the physical properties of each molecule in the subset, and graph them below.   Download Calculated Physical Properties

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