A hybrid approach for hot spot prediction and deep representation of hematological protein – drug interactions

  • Authors

    • Bipin Nair B.J
    • Lijo Joy
    2018-03-01
    https://doi.org/10.14419/ijet.v7i1.9.9752
  • Deep Learning, Drug Prediction, Hot Spots, Hot Region.

  • Abstract

    In our research work we will collect the data of drugs as well as protein regarding hematic diseases, then applying feature extraction as well as classification, predict hot spot and non-hot spot then we are predicting the hot region using prediction algorithm. Parallelly from the hematological drug we are extracting the feature using molecular finger print then classifying using a classifier and applying deep learning concept to reduce the dimensionality then finally using machine learning algorithm predicting which drug will interact with the help of a hybrid approach.

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  • How to Cite

    Nair B.J, B., & Joy, L. (2018). A hybrid approach for hot spot prediction and deep representation of hematological protein – drug interactions. International Journal of Engineering & Technology, 7(1.9), 145-148. https://doi.org/10.14419/ijet.v7i1.9.9752

    Received date: 2018-02-26

    Accepted date: 2018-02-26

    Published date: 2018-03-01