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.

  • 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.

  • References

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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