<i>In silico</i> prediction of the possible antidiabetic and anti-inflammatory targets of <i>Nymphaea lotus</i> -derived phytochemicals and mechanistic insights by molecular dynamics simulations-Reference-Cited by-同舟云学术

In silico prediction of the possible antidiabetic and anti-inflammatory targets of Nymphaea lotus -derived phytochemicals and mechanistic insights by molecular dynamics simulations

Published:2023-01-16 Issue:21 Volume:41 Page:12225-12241
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Oyeyemi Ifeoluwa Temitayo¹,Adewole Kayode Ezekiel²^ORCID,Gyebi Gideon Ampoma³⁴

Affiliation:

1. Department of Biosciences and Biotechnology, University of Medical Sciences, Ondo City, Nigeria

2. Department of Biochemistry, University of Medical Sciences, Ondo City, Nigeria

3. Department of Biochemistry, Faculty of Science and Technology, Bingham University, Karu, Nasarawa, Nigeria

4. NpsBC-Cr: Natural Products and Structural (Bio-Chem)-Informatics Computing Research Lab, Bingham University, Karu, Nasarawa, Nigeria

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2166591

Reference56 articles.

1. Novel Hypothesis to Explain Why SGLT2 Inhibitors Inhibit Only 30–50% of Filtered Glucose Load in Humans

2. GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

3. QSAR studies in the discovery of novel type-II diabetic therapies

4. Amyloid β fibrils disruption by kolaviron: Molecular docking and extended molecular dynamics simulation studies

5. BACE1 and cholinesterase inhibitory activities of compounds from Cajanus cajan and Citrus reticulata: an in silico study

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