PREDICTION OF ANTI-ALZHEIMER’S ACTIVITY OF FLAVONOIDS TARGETING CD33 THROUGH IN-SILICO APPROACH

Authors

  • AKILA S. Department of Biotechnology and Bioinformatics, Bishop Heber College (Autonomous), Tiruchirappalli 620017, Tamil Nadu, India
  • MALAR VIZHI S. Department of Biotechnology and Bioinformatics, Bishop Heber College (Autonomous), Tiruchirappalli 620017, Tamil Nadu, India
  • VIJAYALAKSHMI P. Bioinformatics Centre (BIF), PG and Research Department of Biotechnology and Bioinformatics, Holy Cross College (Autonomous), Tiruchirappalli 620002, Tamil Nadu, India
  • CLARA MARY A. Bioinformatics Centre (BIF), PG and Research Department of Biotechnology and Bioinformatics, Holy Cross College (Autonomous), Tiruchirappalli 620002, Tamil Nadu, India
  • RAJALAKSHMI M. Bioinformatics Centre (BIF), PG and Research Department of Biotechnology and Bioinformatics, Holy Cross College (Autonomous), Tiruchirappalli 620002, Tamil Nadu, India

DOI:

https://doi.org/10.22159/ijcpr.2021v13i4.42746

Keywords:

Alzheimers disease, CD33, Flavonoids, Molecular docking

Abstract

Objective: Alzheimer's disease (AD) is a progressive, fatal brain disorder that would be putting a growing strain on health and social care systems. Present anti-AD agents are limited in their application due to their adverse effects, toxicity, and limited targets in AD pathology. As a result, it is important to develop an AD-fighting compound. Some flavonoids (such as kaempferol, myricetin, quercetin, and syringetin) have been shown to be effective in the treatment of Alzheimer's disease.

Methods: We chose 284 flavonoids from the NPACT database for molecular docking studies in order to examine their binding interactions with the Alzheimer target protein CD33.

Results: These compounds exhibited significant docking interactions with a variety of targets implicated in the pathogenesis of AD. We chose the top three compounds (Rutin, Morin, and,4,4'-Trihydroxydihydrochalcone) based on the scoring parameter.

Conclusion: These compounds exhibited favorable pharmacokinetic properties, indicating that they could be attractive drug candidates for the treatment of Alzheimer's disease.

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Published

15-07-2021

How to Cite

S., A., M. V. S., V. P., C. M. A., and R. M. “PREDICTION OF ANTI-ALZHEIMER’S ACTIVITY OF FLAVONOIDS TARGETING CD33 THROUGH IN-SILICO APPROACH”. International Journal of Current Pharmaceutical Research, vol. 13, no. 4, July 2021, pp. 64-66, doi:10.22159/ijcpr.2021v13i4.42746.

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