IJ Pharmaceutical Research
Scopus by Title (Ref)
1. In silico study to recognize novel angiotensin-converting-enzyme-I inhibitors by 2D-QSAR and constraint-based molecular simulations
- Shah S. , et al.
2. Discovery of new pyridine heterocyclic hybrids; design, synthesis, dynamic simulations, and in vitro and in vivo breast cancer biological assays
- Abdelshaheed M.M. , et al.
3. ElectroPredictor: An Application to Predict Mayr’s Electrophilicity E through Implementation of an Ensemble Model Based on Machine Learning Algorithms
- Cuesta S.A. , et al.
4. Potent VEGFR-2 inhibitors for resistant breast cancer: a comprehensive 3D-QSAR, ADMET, molecular docking and MMPBSA calculation on triazolopyrazine derivatives
- Baammi S. , et al.
5. 1-[4-(2-Dimethylaminoethoxy)phenylcarbonyl]-3,5-Bis(3,4,5-Trimethoxy-benzylidene)-4-Piperidone Hydrochloride and Related Compounds: Potent Cytotoxins Demonstrate Greater Toxicity to Neoplasms than Non-Malignant Cells
- Roayapalley P.K. , et al.
6. In Silico Searching for Alternative Lead Compounds to Treat Type 2 Diabetes through a QSAR and Molecular Dynamics Study
- Cabrera N. , et al.
7. QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP (QSAR) STUDY OF NEWLY SYNTHESIZED CARBONYL THIOUREA DERIVATIVES ON Acanthamoeba sp.
- Ibrahim M.A. , et al.
8. QSAR analysis of the acetylcholinesterase inhibitory activity of some tertiary amine derivatives of cinnamic acid
- Nekoeinia M. , et al.
9. In silico screening of the drugbank database to search for possible drugs against sars-cov-2
- Cuesta S.A. , et al.
10. Molecular simulation of the (GPx)-like antioxidant activity of ebselen derivatives through machine learning techniques
- Calle L. , et al.
11. Discovery and investigation of 1-[4-(2-aminoethoxy)phenylcarbonyl] 3,5-bis-(benzylidene)-4-piperidones as candidate antineoplastic agents: Our last 15 years study
- Hossain M. , et al.
12. Novel hybrid molecules of 3,5-bis(benzylidene)-4-piperidones and dichloroacetic acid which demonstrate potent tumour-selective cytotoxicity
- Hossain M. , et al.
13. Application of genetic algorithms for pixel selection in MIA-QSAR studies on anti-HIV HEPT analogues for new design derivatives
- Doroudi Z. , et al.
14. Development of QSAR machine learning-based models to forecast the effect of substances on malignant melanoma cells
- Ancuceanu R. , et al.