Drug Design and Discovery using Artificial Intelligence
| dc.contributor.author | Benyettou, Youssouf | |
| dc.date.accessioned | 2019-07-23T09:38:33Z | |
| dc.date.available | 2019-07-23T09:38:33Z | |
| dc.date.issued | 2019 | |
| dc.description.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 | en_US |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/15685 | |
| dc.language.iso | en | en_US |
| dc.publisher | University of Mohamed Boudiaf Msila Department of Computer Science Master Dissertation | en_US |
| dc.subject | Drug Design , Discovery using , Artificial Intelligence | en_US |
| dc.title | Drug Design and Discovery using Artificial Intelligence | en_US |
| dc.type | Thesis | en_US |