Abstract

*Bhargavi Reddy Metta

ABSTRACT

The discovery of drug based on latest technologies like artificial intelligence, machine learning wich has been in the highlighted in current days and significantly which will reduce the time and cost required for developing new drugs. Thus the advancement technogies like machine learning ,artificial intelligence and deep learning technologies which will grow rapidly with drug related data set and the steps of drug development process by these methods has been analysed, In particular the pharmacists, chemists and druggists will face significant problems and issues regard to selecting and designing of potential drugs for interest of target testing, hence the major challenges which will predict and estimate the production state, the drug and its drugable interaction, generation of its novel molecular structures suitable for a target of interest.[1] Therefore, in this paper it has been reviewed recent methodologies adopted by latest technologies (AI, ML&DL), So these technologies applications will enhance the drug design interaction and new drug design process and also it has been summarized that the comprehensive process will be reported in this paper and Finally, we present the remaining challenges for the promising future on AI, ML & DL based prediction and novel drug design process.[3]