• DocumentCode
    659607
  • Title

    KUChemBio: A repository of computational chemical biology data sets

  • Author

    Hall, Aaron Smalter ; Jun Huan

  • Author_Institution
    Mol. Graphics & Modeling Lab., Univ. of Kansas, Lawrence, KS, USA
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    37
  • Lastpage
    42
  • Abstract
    Data set curation in cheminformatics is largely ignored, and many publications do not provide the specific chemical structures used in their experiments. Access to chemical structures is vital for experiment reproducibility and comparison of competing methods. To address this limitation, the KU Chemical Biology Database (KUChemBio) has established a collection of 69 data sets for computational chemical biology experiments. Data sets fall into several categories including ADME, toxicity, binding affinity, solubility, melting points, and others. Chemical structures in SDF or Smiles format are provided along with binary or real valued activity labels. Data sets have been consolidated from other online repositories and content from recent publications has been added as well. KUChemBio is located at http://bcf.ku.edu/kuchembio.
  • Keywords
    chemistry computing; data handling; ADME category; KU chemical biology database; KUChemBio; SDF format; Smiles format; binding affinity category; chemical structures; cheminformatics; computational chemical biology data sets; data set curation; experiment reproducibility; melting points category; solubility category; toxicity category; Absorption; Biology; Chemicals; Compounds; Computational modeling; Drugs; Inhibitors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data, 2013 IEEE International Conference on
  • Conference_Location
    Silicon Valley, CA
  • Type

    conf

  • DOI
    10.1109/BigData.2013.6691756
  • Filename
    6691756