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SANGEETA KUMARI
IBAB: Institute of Bioinformatics and Applied Biotechnology
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8165-8319
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Objective
This study’s primary goal is unraveling the mechanism of action of bioactives of Curcuma longa L. at the molecular level using protein-protein interaction network.
Results
We used target proteins to create protein-protein interaction network (PPIN) and identified significant node and edge attributes of PPIN. We identified the cluster of proteins in the PPIN, which were used to identify enriched pathways. We identified closeness centrality and jaccard score as most important node and edge attribute of the PPIN respectively. The enriched pathways of various clusters were overlapped suggesting synergistic mechanism of action. The three pathways found to be common among three clusters were Gonadotropin-releasing hormone receptor pathway, Endothelin signaling pathway, and Inflammation mediated by chemokine and cytokine signaling pathway.
Keywords
Markov clustering, Protein Clusters, Centrality measure, Synergistic mechanism
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Research Notes.
Version 3
Posted 22 Sep, 2020
No community comments so far
Editorial decision: Accept
On 21 Sep, 2020
Editor assigned
On 19 Sep, 2020
Submission checks complete
On 18 Sep, 2020
Editor invited
On 18 Sep, 2020
No comments provided
Editorial decision: Minor revision
On 08 Sep, 2020
Editor assigned
On 05 Sep, 2020
Submission checks complete
On 04 Sep, 2020
Editor invited
On 04 Sep, 2020
No comments provided
Editorial decision: Major revision
On 22 Jul, 2020
Review #2 received
Received 19 Jul, 2020
Review #1 received
Received 18 Jul, 2020
Reviewer #2 agreed
On 10 Jul, 2020
Reviewer #1 agreed
On 09 Jul, 2020
Editor assigned
On 05 Jun, 2020
Reviewers invited
Invitations sent on 05 Jun, 2020
Submission checks complete
On 04 Jun, 2020
Editor invited
On 02 Jun, 2020
First submitted
On 27 May, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
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See the published version of this preprint at BMC Research Notes.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research note
SANGEETA KUMARI
IBAB: Institute of Bioinformatics and Applied Biotechnology
Corresponding Author
ORCiD: https://orcid.org/0000-0002-8165-8319
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at BMC Research Notes.
Version 3
Posted 22 Sep, 2020
No community comments so far
Editorial decision: Accept
On 21 Sep, 2020
Editor assigned
On 19 Sep, 2020
Submission checks complete
On 18 Sep, 2020
Editor invited
On 18 Sep, 2020
No comments provided
Editorial decision: Minor revision
On 08 Sep, 2020
Editor assigned
On 05 Sep, 2020
Submission checks complete
On 04 Sep, 2020
Editor invited
On 04 Sep, 2020
No comments provided
Editorial decision: Major revision
On 22 Jul, 2020
Review #2 received
Received 19 Jul, 2020
Review #1 received
Received 18 Jul, 2020
Reviewer #2 agreed
On 10 Jul, 2020
Reviewer #1 agreed
On 09 Jul, 2020
Editor assigned
On 05 Jun, 2020
Reviewers invited
Invitations sent on 05 Jun, 2020
Submission checks complete
On 04 Jun, 2020
Editor invited
On 02 Jun, 2020
First submitted
On 27 May, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at BMC Research Notes.
Objective
This study’s primary goal is unraveling the mechanism of action of bioactives of Curcuma longa L. at the molecular level using protein-protein interaction network.
Results
We used target proteins to create protein-protein interaction network (PPIN) and identified significant node and edge attributes of PPIN. We identified the cluster of proteins in the PPIN, which were used to identify enriched pathways. We identified closeness centrality and jaccard score as most important node and edge attribute of the PPIN respectively. The enriched pathways of various clusters were overlapped suggesting synergistic mechanism of action. The three pathways found to be common among three clusters were Gonadotropin-releasing hormone receptor pathway, Endothelin signaling pathway, and Inflammation mediated by chemokine and cytokine signaling pathway.
Figure 1
Figure 2
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