In silico identification of natural compounds from virgin coconut oil as potential ligand peroxisome proliferator-activated receptor-gamma as preventive food leads against colitis: Is it really work? (Record no. 19703)

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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230808095108.0
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fixed length control field 230808b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 21457
Author Trismayanti, Ni Made Rika
245 ## - TITLE STATEMENT
Title In silico identification of natural compounds from virgin coconut oil as potential ligand peroxisome proliferator-activated receptor-gamma as preventive food leads against colitis: Is it really work?
250 ## - EDITION STATEMENT
Volume, Issue number Vol.14(1), Jan-Mar
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Mumbai
Name of publisher, distributor, etc. Wolter Kluwer
Year 2023
300 ## - PHYSICAL DESCRIPTION
Pagination 39-45p.
520 ## - SUMMARY, ETC.
Summary, etc. Ulcerative colitis (UC) is an inflammation of the large intestine characterized by diarrhea with blood. UC has a more extensive manifestation in children. Current therapy has not given satisfactory results. This is the basis for the need for preventive therapy to reduce the morbidity and mortality of UC in children. Virgin coconut oil (VCO) is a viable dietary supplement option due to its ability to act as a peroxisome proliferator-activated receptor (PPAR) ligand, inhibiting the release of pro-inflammatory cytokines. The aim of this study was to determine natural compounds from VCO that have the potential to prevent colitis using a docking-based virtual screening approach. Quantitative structure-activity relationship analysis was used to find out how similar the input compounds and the database were. Docking is done using AutoDockTools 1.5.6. The algorithm used is the Lamarckian Genetic Algorithm (4.2). PPAR-gamma (PPAR-γ) was used as the target protein in a complex with rosiglitazone (ID PDB: 7AWC). PyMol 2.5.1 was used to prepare and visualize three-dimensional data, and the amino acid interactions were visualized using Discovery Studio 2021 Clients. It was found that linoleic acid and oleic acid in VCO have anti-inflammatory effects with predictive values of 0.73 and 0.614, respectively, and that they stop tumor necrosis factor (TNF) expression with predictive values of 0.751 and 0.724. The result of molecular docking showed that the VCO compound was able to interact with the same residue as the control. VCO reduces inflammation by acting as a PPAR-γ and TNF expression inhibitor.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4639
Topical term or geographic name entry element PHARMACEUTICS
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 21458
Co-Author Dian, Handayani
773 0# - HOST ITEM ENTRY
Title Journal of advanced pharmaceutical technology and research
International Standard Serial Number 2231-4040
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10026328/
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Shelving location Date acquired Barcode Date last seen Price effective from Koha item type
          School of Pharmacy School of Pharmacy Archieval Section 2023-08-08 2023-1114 2023-08-08 2023-08-08 Articles Abstract Database
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