• DocumentCode
    667191
  • Title

    Drug screening with Elastic-net multiple kernel learning

  • Author

    Pasupa, Kitsuchart ; Hussain, Z. ; Shawe-Taylor, John ; Willett, P.

  • Author_Institution
    Fac. of Inf. Technol., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We apply Elastic-net Multiple Kernel Learning (MKL) to the MDL Drug Data Report (MDDR) database for the problem of drug screening. We show that combining a set of kernels constructed from fingerprint descriptors, can significantly improve the accuracy of prediction, against a Support Vector Machine trained on each kernel separately. To the best of our knowledge, this is the first application of MKL to the MDDR database for drug screening.
  • Keywords
    drugs; learning (artificial intelligence); medical computing; support vector machines; MDDR database; MDL drug data report database; MKL; drug screening; elastic-net multiple kernel learning; fingerprint descriptors; support vector machine; Compounds; Databases; Drugs; Inhibitors; Kernel; Optimization; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
  • Conference_Location
    Chania
  • Type

    conf

  • DOI
    10.1109/BIBE.2013.6701529
  • Filename
    6701529
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=667191