A computational approach for investigating the mutational landscape of RAC-alpha serine/threonine-protein kinase (AKT1) and screening inhibitors against the oncogenic E17K mutation causing breast cancer.
D. Thirumal KumarNikita JainJudith EvangelineBalu KamarajRamamoorthy SivaHatem ZayedC. George Priya DossPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- breast cancer
- drug resistance
- sequence alignment
- breast cancer detection
- early detection of breast cancer
- hiv protease
- drug discovery
- human immunodeficiency virus
- protein protein interactions
- diagnosis of breast cancer
- early detection
- biological data
- computer aided diagnosis
- logistic regression
- breast cancer diagnosis
- amino acids
- protein structure
- protein sequences
- coarse grained
- survival analysis
- mammogram images
- cancer patients
- image analysis
- evolutionary algorithm
- computer aided detection
- early stage
- benign and malignant
- breast tissue
- x ray
- genetic algorithm
- pairwise
- bladder cancer
- decision trees