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.

Every atoms or compounds must have ground state as well as excited state when they are participating in chemical reactions. Drug is also a chemical compound which also has the two states. Computing the physical properties of a drug compound and calculate its energy states and Comparing the ground state and excited state performance of aromatic cyclic cancer drugs like doxorubicin and docetaxel using various types of cheminformatics methods.in our work we are using so many physical properties like surface area of an atom etc. to check the efficiency of drug.