Published Paper Details:

Artificial intelligence, in the recent world is a powerful tool which has been extensively been used scientists working in pharmaceutical industries for drug discovery. Many aspects of drug discovery such as drug screening, identification of dosage, drug effectiveness, virtual screening, QSAR modelling, toxicity prediction, bioactivity prediction, prediction of physiochemical properties, de novo drug design and identification of molecular pathway which were traditionally been time and resource consuming with question of effectiveness has now become less time and resource consuming with remarkable increase in efficiency of the process. The use of different AI tools such as machine learning and deep learning algorithms, DeepAffinity, PREDICT, FAME, XenoSite, eToxPred, pkCMS, wideDTA, DeepChem were found very efficient in analysing huge pool of data and to provide us with most appropriate data use in any process of drug discovery. Several breakthroughs have been achieved in different aspects of drug designing by different scientists resulting in rapid advancement is the field of drug designing.