Computational Evaluation of Pharmacokinetics and Potential Protein Targets of Ginger (Zingiber officinale)

  • David M. Sanni Enzyme Biotechnology and Bioinformatics Unit, Department of Biochemistry, Federal University of Technology, Akure, Nigeria
  • Toluwase H. Fatoki Enzyme Biotechnology and Bioinformatics Unit, Department of Biochemistry, Federal University of Technology, Akure, Nigeria

Abstract

Ginger, the rhizome of the Zingiber officinale, a herbaceous tropical perennial plant which belong to the family Zingiberaceae. Ginger is a non-toxic highly promising natural compound having a wide spectrum of biological functions. In this study, selected bioactive components of ginger were computationally evaluated for therapeutic potential in relevance to human diseases using standard bioinformatics tools such as Pubchem, Swisstargetprediction and Swissadme. The result of this study showed that most of the targets obtained such as 5- hydroxytryptamine receptors, carbonic anhydrases and zinc finger proteins, have not been adequately researched in relation to the therapeutic potential of ginger. Ginger showed high potential in the prevention and management of cancer, neurodegenerative dementia and cardiovascular diseases in human, which could be administered alone or in combination with other drugs. Keyword: Ginger, Zingiber officinale, Target prediction, Computational pharmacokinetics, Human diseases, 5- Hydroxytryptamine receptors, Carbonic anhydrases, Zinc finger proteins.

Author Biographies

David M. Sanni, Enzyme Biotechnology and Bioinformatics Unit, Department of Biochemistry, Federal University of Technology, Akure, Nigeria
Enzyme Biotechnology and Bioinformatics Unit, Department of Biochemistry, Federal University of Technology, Akure, Nigeria
Toluwase H. Fatoki, Enzyme Biotechnology and Bioinformatics Unit, Department of Biochemistry, Federal University of Technology, Akure, Nigeria
Enzyme Biotechnology and Bioinformatics Unit, Department of Biochemistry, Federal University of Technology, Akure, Nigeria

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Published
2017-03-29
Section
Article