In silico investigation of the mechanism of action of kojic acid effects via protein-protein interaction network

Purpose: To evaluate the molecular mechanism of kojic acid by network pharmacology.Methods: This study was conducted by designing a protein-protein interaction network through the STITCH database and analyzing biological processes via Cytoscape plugin ClueGO.Results: A total of 19 protein targets of kojic acid including TYR, NOS3, NOS2, and NOS1 were found. The PPI network helped to understand the mode of action of kojic acid at a molecular level. Gene Ontology (GO) analysis resulted in the retrieval of 104 GO terms which were related to variousphysiological processes. GO analysis revealed that kojic acid might be involved in the regulation of several biological processes such as circadian gene expression and transcription initiation of RNA polymerase 2.Conclusion: The findings from this study reveal that the retrieved GO pathways are known to be involved in several diseases such as inflammation, cancer, aging, pigmentation, and melisma. Furthermore, these pathways are directly or indirectly related to kojic acid. Thus, this study has contributed to a better understanding of the mode of action of kojic acid.

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Protein protein interaction network analysis of differentially expressed genes to understand involved biological processes in coronary artery disease and its different severity

Gene Reports ◽

10.1016/j.genrep.2018.05.008 ◽

2018 ◽

Vol 12 ◽

pp. 50-60 ◽

Cited By ~ 2

Author(s):

Shiridhar Kashyap ◽

Sudeep Kumar ◽

Vikas Agarwal ◽

Durga P. Misra ◽

Shubha R. Phadke ◽

...

Keyword(s):

Coronary Artery Disease ◽

Coronary Artery ◽

Network Analysis ◽

Protein Interaction ◽

Protein Interaction Network ◽

Interaction Network ◽

Biological Processes ◽

Protein Protein Interaction ◽

Artery Disease ◽

Protein Protein Interaction Network

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Protein-Protein Interaction Network Analysis Revealed a New Prospective of Posttraumatic Stress Disorder

Galen Medical Journal ◽

10.31661/gmj.v7i0.1137 ◽

2018 ◽

Vol 7 ◽

pp. e1137

Author(s):

Mostafa Rezaei Tavirani ◽

Farshad Okhovatian ◽

Mohammad Rostami-Nejad ◽

Sina Rezaei Tavirani

Keyword(s):

Posttraumatic Stress Disorder ◽

Posttraumatic Stress ◽

Protein Interaction ◽

Protein Interaction Network ◽

Stress Disorder ◽

Interaction Network ◽

Biological Processes ◽

Clinical Interviews ◽

Protein Protein Interaction ◽

Protein Protein Interaction Network

Background: Posttraumatic stress disorder (PTSD) is known by a number of mental disorders, including recurring memories of trauma, mental appalling, and escaping of sign that make them recall the trauma in question. Clinical interviews serve as the main diagnostic tool for PTSD. With respect to treatment, either pharmacotherapy or psychotherapy or a combination of both is used as a therapeutic method for PTSD. In this study, a number of crucial genes related to PTSD, which can be considered as biomarker candidates, were represented. Materials and Methods: The genes related to PTSD were extracted from the STRING database and organized in a protein-protein interaction network with the help of Cytoscape software version 3.6.0. The network was analyzed, and the important genes were introduced based on central indices. The biological processes related to the crucial genes were enriched via gene ontology using ClueGO. Results: From a total of 100 genes, 63 genes were extracted that formed the main connected component, and of these, 12 crucial genes¾POMC, BDNF, FOS, NR3C1, CRH, IL6, NPS, HTR1A, NPY, CREB1, CRHR1, and TAC1¾were introduced. Biological processes were classified into the regulation of corticosterone, regulation of behavior, response to fungus, multicellular organism response to stress, and associative learning. Conclusion: The introduced 12 crucial genes can be used as a biomarker panel related to PTSD and can be considered as a diagnostic reagent or drug target; however, more investigations are needed to use these genes as biomarkers.[GMJ.2018;7:e1137]

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