Bioinformatics | Pharmacology Empirical comparison and analysis of machine learning-based approaches for druggable protein identification. October 2, 2023
Pharmaceutical Sciences | Pharmacology Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects. October 2, 2023
Bioinformatics | Computational Biology | Pharmacology DGDTA: dynamic graph attention network for predicting drug-target binding affinity. September 30, 2023
Bioinformatics | Computational Biology | Pharmacology TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection. September 30, 2023
Bioinformatics | Pharmacology AMMVF-DTI: A Novel Model Predicting Drug-Target Interactions Based on Attention Mechanism and Multi-View Fusion. September 28, 2023
Pharmacology | Precision Medicine Review of Predicting Synergistic Drug Combinations. September 28, 2023
Analytical Chemistry | Herbal Medicine | Pharmacology A global profiling strategy for identification of the total constituents in Chinese herbal medicine based on online comprehensive two-dimensional liquid chromatography-quadrupole time-of-flight mass spectrometry combined with intelligentized chemical classification guidance. September 27, 2023
Oncology | Pharmacology Vismodegib Identified as a Novel COX-2 Inhibitor via Deep-Learning-Based Drug Repositioning and Molecular Docking Analysis. September 25, 2023
Bioinformatics | Computational Biology | Pharmacology HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug-drug interaction prediction. September 25, 2023
Bioinformatics | Drug Discovery | Pharmacology ML-PLIC: a web platform for characterizing protein-ligand interactions and developing machine learning-based scoring functions. September 22, 2023
Endocrinology | Hematology | Pharmacology Assessment of the hypoglycemic and anti-hemostasis effects of Paederia foetida (L.) in controlling diabetes and thrombophilia combining in vivo and computational analysis. September 22, 2023
Microbiology | Pharmacology Identification of potential inhibitors against E.coli via novel approaches based on deep learning and quantum mechanics-based atomistic investigations. September 21, 2023