Drug Design and Discovery using Artificial Intelligence
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Date
2019
Authors
Journal Title
Journal ISSN
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Publisher
University of Mohamed Boudiaf Msila Department of Computer Science Master Dissertation
Abstract
With the rise of deep learning models and the successful result showing in deferent domains (such
as Computer vision and Natural language processing) researchers and laboratories of cheminformatics
try to apply these techniques in drug design and discovery. recently, the application of Deep Learning
in this area of research has made a good progress but it is in the early stage and we can’t say that the
results lead us to rational drug design, which mean designing new drugs without in vivo and human
trials. in this master thesis project, we applied Deep Neural network (Deep learning) in drug design and
discovery dataset to predict the toxicity of molecules. After the evaluation and comparison of results we
found that the big problem is the small amount of data compared with used model
Description
Keywords
Drug Design , Discovery using , Artificial Intelligence