La fouille de données à la découverte de motif
| dc.contributor.author | Hadiby, Seloua | |
| dc.date.accessioned | 2024-05-09T08:38:36Z | |
| dc.date.available | 2024-05-09T08:38:36Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Cancer remains one of the deadliest diseases of our time, characterized by abnormal growth and spreading of cells in the body. Bioinformatics is critical in advancing drug development for cancer, utilizing genomic and proteomic data to identify potential drug targets and design targeted therapies. This thesis focuses on drug discovery, specifically virtual screening using predictive models to classify active and inactive molecules with specific receptors. The receptors studied in this thesis are CDK1, a protein kinase over expressed in various types of cancer and a potential target for cancer therapy, and BRCA1, a tumor suppressor gene crucial in maintaining genome stability, with mutations associated with increased risks of breast, ovarian, and other cancers. | |
| dc.identifier.uri | https://dspace.univ-annaba.dz//handle/123456789/3443 | |
| dc.language.iso | en | |
| dc.title | La fouille de données à la découverte de motif | |
| dc.type | Thesis |