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A hybrid approach for hot spot prediction and deep representation of hematological protein – drug interactions
2018
International Journal of Engineering & Technology
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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
doi:10.14419/ijet.v7i1.9.9752
fatcat:lh34szujqvecpokepx5kw7b774