MARATTO

article · Medinformatics

ADME, Molecular Targets, Docking, and Dynamic Simulation Studies of Phytoconstituents of Cymbopogon citratus (DC.)

20249 citationsOpen accessEkiti State University

Abstract

Cymbopogon citratus (DC) Stapf. is utilized in both culinary and medicinal contexts, wherein its extracts demonstrate a range of therapeutic properties, including antidiabetic, antioxidant, and anti-inflammatory activities. This investigation aimed to computationally analyze phytochemicals of C. citratus, evaluating their pharmacokinetics and binding dynamics. The findings revealed a combination of high and low gastrointestinal absorption (GIA) for C. citratus (DC.) phytochemicals, with some exhibiting permeability across the blood-brain barrier (BBB). Xanthine dehydrogenase/oxidase (XDH) emerged as the primary human molecular target of C. citratus phytocompounds, while XDH and matrix metalloproteinase-9 (MMP9) have central connectivity in the protein interaction network. Orientin has best binding affinity with XDH (−9.083 kcal.mol−1) and MMP9 (−9.051 kcal.mol−1). Molecular dynamic simulations indicated the favorable stability and interactions of XDH with orientin and quercetin, respectively. In summary, this investigation underscores the potential of twenty-six (26) phytochemicals in C. citratus extract to combat cancer and neurodegenerative diseases through mechanisms targeting XDH and MMP9. Received: 27 February 2024 | Revised: 31 May 2024 | Accepted: 14 June 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement The SwissADME data that support the findings of this study are openly available at www.swissadme.ch, reference number [11]. The SEA Search data that support the findings of this study are openly available at www.sea.bkslab.org, reference number [12]. The STRING data that support the findings of this study are openly available at https://string-db.org, reference number [13]. The eXpression2Kinases data that support the findings of this study are openly available at https://maayanlab.cloud/X2K/, reference number [14]. The UniProt data that support the findings of this study are openly available at www.uniprot.org.

Research topics

  • Computational Drug Discovery Methods
  • Pharmacological Effects of Natural Compounds
  • Plant biochemistry and biosynthesis

Sustainable Development Goals

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.47852/bonviewmedin42022711

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.