IJ Pharmaceutical Research
Scopus by Title (Ref)
1. In Silico Exploration and Synthesis of New Quinazolinones as Antimicrobials using a Computational Approach
- Kumar A. , et al.
2. Artificial Intelligence–Driven Computational Approaches in the Development of Anticancer Drugs
- Garg P. , et al.
4. Synthesis, biological evaluation, and computational studies of some novel quinazoline derivatives as anticancer agents
- Emami L. , et al.
5. Cytotoxic derivatives of dichloroacetic acid and some metal complexes
- Hossain M. , et al.
6. Machine Learning for Evaluating the Cytotoxicity of Mixtures of Nano-TiO2 and Heavy Metals: QSAR Model Apply Random Forest Algorithm after Clustering Analysis
- Sang L. , et al.
7. Novel N-substituted isatin-ampyrone Schiff bases as a new class of antiproliferative agents: Design, synthesis, molecular modeling and in vitro cytotoxic activity
- Emami L. , et al.
8. Vilazodone-tacrine hybrids as potential anti-alzheimer agents: Qsar, molecular docking, and molecular dynamic (md) simulation studies
- Abbasi H. , et al.
9. Quinazoline analogues as cytotoxic agents; QSAR, docking, and in silico studies
- Emami L. , et al.
10. 2-(Chloromethyl)-3-phenylquinazolin-4(3H)-ones as potent anticancer agents; cytotoxicity, molecular docking and in silico studies
- Emami L. , et al.
12. 5-(2-carboxyethenyl)-isatin derivatives as anticancer agents: Qsar, molecular docking and molecular dynamic simulation analysis
- Emami L. , et al.
15. Imidazole and carbazole derivatives as potential anticancer agents: Molecular docking studies and cytotoxic activity evaluation
- Taheri B. , et al.
16. Molecular docking and druggability studies of terpenoid-derived metabolites from marine sponges as IL-17A inhibitors
- Khaledi M. , et al.
17. Development of QSAR machine learning-based models to forecast the effect of substances on malignant melanoma cells
- Ancuceanu R. , et al.