HPLC profiling for the simultaneous estimation of antidiabetic compounds from Tradescantia pallida.
- Published in:
- Arabian Journal of Chemistry, 2024, v. 17, n. 4, p. N.PAG, doi. 10.1016/j.arabjc.2024.105703
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- Publication type:
- Article
Works by Imtiaz, Fariha
Results: 9
1
2
Assessment of the antidiabetic potential of extract and novel phytoniosomes formulation of Tradescantia pallida leaves in the alloxan‐induced diabetic mouse model.
- Published in:
- FASEB Journal, 2023, v. 37, n. 4, p. 1, doi. 10.1096/fj.202201395RR
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- Publication type:
- Article
3
Prediction of α-Glucosidase Inhibitory Activity of LC-ESI-TQ-MS/MS-Identified Compounds from Tradescantia pallida Leaves.
- Published in:
- Pharmaceutics, 2022, v. 14, n. 12, p. 2578, doi. 10.3390/pharmaceutics14122578
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- Publication type:
- Article
4
Synthesis, Computational Studies, Antioxidant and Anti-Inflammatory Bio-Evaluation of 2,5-Disubstituted-1,3,4-Oxadiazole Derivatives.
- Published in:
- Pharmaceuticals (14248247), 2023, v. 16, n. 7, p. 1045, doi. 10.3390/ph16071045
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- Publication type:
- Article
5
Phytochemical profiling and anti-inflammatory potential of Ficus natalensis subsp. leprieurii (Miq.) C.C. Berg -- an in vitro, in vivo and in silico study.
- Published in:
- Pakistan Journal of Pharmaceutical Sciences, 2023, v. 36, p. 311, doi. 10.36721/PJPS.2023.36.1.SP.311-324.1
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- Publication type:
- Article
6
Antihypertensive potential of Brassica rapa leaves: An in vitro and in silico approach.
- Published in:
- Frontiers in Pharmacology, 2022, v. 13, p. 01, doi. 10.3389/fphar.2022.996755
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- Publication type:
- Article
7
Bioassay-guided isolation and in silico study of antihyperlipidemic compounds from Onosma hispidum Wall.
- Published in:
- Journal of Biomolecular Structure & Dynamics, 2024, v. 42, n. 15, p. 8009, doi. 10.1080/07391102.2023.2242503
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- Publication type:
- Article
8
Phenolic compounds from Tradescantia pallida ameliorate diabetes by inhibiting enzymatic and non-enzymatic pathways.
- Published in:
- Journal of Biomolecular Structure & Dynamics, 2023, v. 41, n. 21, p. 11872, doi. 10.1080/07391102.2022.2164059
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- Publication type:
- Article
9
A systematic review of RdRp of SARS-CoV-2 through artificial intelligence and machine learning utilizing structure-based drug design strategy.
- Published in:
- Turkish Journal of Chemistry, 2022, v. 46, n. 3, p. 583, doi. 10.55730/1300-0527.3355
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- Publication type:
- Article