Application of Artificial intelligence in Drug Discovery.

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Abstract

Due to the heap of data sets available for drug discovery, modern drug discovery has taken the shape of big data. Using Artificial intelligence (AI) can help to modify drug discovery based big data to précised, knowledgeable data. The pharmaceutical company has already geared their departments for this and started a race to search for new novel drugs. The AI helps to predict the molecular structure of the compound and their in-vivo vs. in-vitro characteristics without being hampering life, thus saving time and economic loss. Clinical studies, electronic records, and images act as a helping hand for the development. The data mining and curation techniques help explore the data with a single click. AI in big data analysis has paved the red carpet for future rational drug development and optimization. The review’s objective is to familiarise readers with the various advances in the AI field concerning software, firms, and other tools working in easing out the labor of the drug discovery journey.Copyright© Bentham Science Publishers; For any queries, please email at [email protected].