Strategies to identify candidate repurposable drugs: COVID-19 treatment as a case example.
PMID:34785660
Machine learning methods, databases and tools for drug combination prediction.
PMID:34477201
Transformative dynamism in pharmaceutical and biomedical research: Complexity of integration of innovative R & D hubs.
PMID:34336611
Recent trends in artificial intelligence-driven identification and development of anti-neurodegenerative therapeutic agents.
PMID:34282519
Structure-based drug repurposing against COVID-19 and emerging infectious diseases: methods, resources and discoveries.
PMID:33993214
A machine learning method based on the genetic and world competitive contests algorithms for selecting genes or features in biological applications.
PMID:33558580
Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions.
PMID:33295676
A multimodal deep learning-based drug repurposing approach for treatment of COVID-19.
PMID:32997257
World competitive contest-based artificial neural network: A new class-specific method for classification of clinical and biological datasets.
PMID:32991962
Computational-based drug repurposing methods in COVID-19.
PMID:32793443
Synthetic repurposing of drugs against hypertension: a datamining method based on association rules and a novel discrete algorithm.
PMID:32677879
Bioinformatics Analysis of the Expression of Key Long Intergenic Non-Protein Coding RNA Genes in Bladder Cancer.
PMID:32277695
Identification of Key Components in Colon Adenocarcinoma Using Transcriptome to Interactome Multilayer Framework.
PMID:32193399
Trader as a new optimization algorithm predicts drug-target interactions efficiently.
PMID:31249365