DDR: efficient computational method to predict drug-target interactions using graph mining and machine learning approaches.

Journal: Bioinformatics (Oxford, England)
Published Date: Apr 1, 2018

Abstract

MOTIVATION: Finding computationally drug-target interactions (DTIs) is a convenient strategy to identify new DTIs at low cost with reasonable accuracy. However, the current DTI prediction methods suffer the high false positive prediction rate.

Authors

  • Rawan S Olayan
    King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, Thuwal, Saudi Arabia.
  • Haitham Ashoor
    King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal, Saudi Arabia.
  • Vladimir B Bajic
    King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Thuwal, Saudi Arabia.

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