Interests
- Computational Drug Design
- Graph
- Disease
Latest
- Diagnosing Multiple Sclerosis from Magnetic Resonance Imaging Images: Highlights from the Second Isfahan Artificial Intelligence Event 2024
- DRP-VEM: Drug repositioning prediction using voting ensemble
- Prediction of human-virus protein-protein interaction using heterogeneous siamese neural network
- SimPep and OP-AND: A deep learning framework and curated database for predicting osteogenic peptides
- In-silico drug generation using masked language modeling
- Integrating Biological Networks and Deep Learning for Microbe -Disease Prediction
- Enhancing Predictive Accuracy of Biomolecules Partition Coefficients in Aqueous Two-Phase Systems Using Machine Learning
- Adverse drug reaction prediction using voting ensemble training approach
- BioAct-Het: A heterogeneous siamese neural network for bioactivity prediction using novel bioactivity representation
- DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing
- DrugRep-KG: toward learning a unified latent space for drug repurposing using knowledge graphs
- Predicting Adverse Drug Reactions Using Computational Methods: An Analysis of Drug and Adverse Reaction Features and Representations
- The assessment of similarity vectors of fingerprint and UMLS in adverse drug reaction prediction