IJ Pharmaceutical Research
Scopus by Title (Ref)
1. Recent advances in the development of 17beta-hydroxysteroid dehydrogenase inhibitors
- Poirier D. , et al.
2. In Silico Insights: QSAR Modeling of TBK1 Kinase Inhibitors for Enhanced Drug Discovery
- Ivanov J.M. , et al.
3. Identification of Potent Small-Molecule PCSK9 Inhibitors Based on Quantitative Structure-Activity Relationship, Pharmacophore Modeling, and Molecular Docking Procedure
- Mahmoudi A. , et al.
4. Combined Machine Learning and GRID-Independent Molecular Descriptor (GRIND) Models to Probe the Activity Profiles of 5-Lipoxygenase Activating Protein Inhibitors
- Khan H.A. , et al.
5. QSAR Studies and Structure Property/Activity Relationships Applied in Pyrazine Derivatives as Antiproliferative Agents against the BGC823
- Soualmia F. , et al.
7. In silico drug-designing studies on sulforaphane analogues: Pharmaco-phore mapping, molecular docking and qsar modeling
- Vaghefinezhad N. , et al.
8. The Curcumin Derivative, H10, Suppresses Hormone-Dependent Prostate Cancer by Inhibiting 17β-Hydroxysteroid Dehydrogenase Type 3
- Cheng Y. , et al.
9. Development of QSAR machine learning-based models to forecast the effect of substances on malignant melanoma cells
- Ancuceanu R. , et al.
10. Collaborative Filtering based Recommendation Algorithm for Recommending Active Molecules for Protein Targets
- Ma J. , et al.
11. Molecular docking and 4D-QSAR studies of metastatic cancer inhibitor thiazoles
- Türkmenoğlu B. , et al.
12. Screening for linearly and nonlinearly related variables in predictive cheminformatic models
- Hemmateenejad B. , et al.