Melola Discovery

← Melola Discovery

Journal

Study In Silico of the Activity of Bioactive Compounds from Cinnamon (Cinnamomum verum) Bark as Anti-inflammatory

Journal of Science and Technology Research for Pharmacy · Vol. 4 No. 1 (2025)

DOI
10.15294/jstrp.v4i1.6189
ISSN
2776-0685
Published
2025-07-10
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Cinnamon bark (Cinnamomum verum) contains various bioactive compounds that can be used in drug development, one of which is anti-inflammatory. Inflammation is the body's defense response to the occurrence of an injury from objects unknown to the body, such as bacterial infections, trauma, autoimmune, viruses and toxins. The purpose of this study was to determine the content of bioactive compounds in cinnamon bark. This research method was carried out using the Dr. Duke's Phytochemical database. Duke's Phytochemical database to collect bioactive compounds in cinnamon bark, PubChem to download the ligand structure of bioactive compounds, PASS (Prediction of Activity Spectra for Substance) Online for screening the anti-inflammatory activity value of bioactive compounds, SEA and Swiss Target Prediction are used to determine the target protein, STRING is used to analyze the interaction between target proteins, Cytoscape is used to predict tissue topology, Pyrex is used for molecular docking, and Biovia Discovery Studio is used to visualize docking results. There are 16 cinnamon bark compounds that have a Pa value > 0.5. Based on the docking results, compounds that have a Pa value> 0.5. Based on docking results, beta caryopyhllene, caryopyhllene, fatty acid, and isocaryopyhllene compounds have PPARA activator mechanism with binding affinity of -7.4 kcal/mol, -7.9 kcal/mol, -7.8 kcal/mol, and -5.6 kcal/mol. Caffeic acid compounds have an MMP-9 activator mechanism with a binding affinity of -5.7 kcal/mol. Visualization of docking results shows that isocaryopyhllene and caffeic acid compounds have similar interactions and amino acid residues with control drugs so that they can be used as anti-inflammatory agents.

Keywords

Collaboration network of the authors

40 authors · 94 co-authorship links · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Universitas Indraprasta PGRI
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ari YuniastutiState University of Semarang6
Retno Sri IswariState University of Semarang3
Wulan ChristijantiAffiliation unknown3
Aditya MariantiAffiliation unknown2
Nugrahaningsih WHAffiliation unknown2
Wiwi IsnaeniState University of Semarang2
Priyantini WidiyaningrumAffiliation unknown2
Siti Harnina BintariAffiliation unknown2
Ani RusilowatiState University of Semarang2
Didik Huswo UtomoAffiliation unknown2
Yanuarita TursinawatiAffiliation unknown1
Prima Gita IslamiAffiliation unknown1
Dinar Diyah AstutiAffiliation unknown1
Kartika WidiyaningrumAffiliation unknown1
Eva Ulfiatus ShofiaAffiliation unknown1
Anggun Try SetyaningsihAffiliation unknown1
Bagus Hammam FalahAffiliation unknown1
Nana Kariada MartutiAffiliation unknown1
Retno PurwantiAffiliation unknown1
- UmarudinAffiliation unknown1
Rheza Alfy YuliantoAffiliation unknown1
Yuliana AstrianaAffiliation unknown1
Ning SetiatiAffiliation unknown1
Muhammad Rofiq NezarAffiliation unknown1
Margareta RahayuningsihAffiliation unknown1
Denny Herbianto BahtiarAffiliation unknown1
Fatchun NaimAffiliation unknown1
Siti Rofiatus Sa’adahAffiliation unknown1
Sri UtamiUniversitas Indraprasta PGRI1
Yenni Tyas Wulandari K. EAffiliation unknown1
Masrukan MasrukanState University of Semarang1
Heru SetyantoAffiliation unknown1
Triastuti SulistyaningsihAffiliation unknown1
Tri Sri NoorAsihAffiliation unknown1
Fitri Arum SasiAffiliation unknown1
Khoerina SalwaAffiliation unknown1
Senda Kartika RakainsaAffiliation unknown1
Kartika WidyaningrumAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/JSTRP/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Study In Silico of the Activity of Bioactive Compounds from Cinnamon (Cinnamomum verum) Bark as Anti-inflammatory</dc:title>
	<dc:creator xml:lang="en">Islami, Prima Gita Islami</dc:creator>
	<dc:creator xml:lang="en">R Susanti</dc:creator>
	<dc:subject xml:lang="en">Anti-inflammatory, Cinnamomum verum, In Silico</dc:subject>
	<dc:description xml:lang="en">Cinnamon bark (Cinnamomum verum) contains various bioactive compounds that can be used in drug development, one of which is anti-inflammatory. Inflammation is the body's defense response to the occurrence of an injury from objects unknown to the body, such as bacterial infections, trauma, autoimmune, viruses and toxins. The purpose of this study was to determine the content of bioactive compounds in cinnamon bark. This research method was carried out using the Dr. Duke's Phytochemical database. Duke's Phytochemical database to collect bioactive compounds in cinnamon bark, PubChem to download the ligand structure of bioactive compounds, PASS (Prediction of Activity Spectra for Substance) Online for screening the anti-inflammatory activity value of bioactive compounds, SEA and Swiss Target Prediction are used to determine the target protein, STRING is used to analyze the interaction between target proteins, Cytoscape is used to predict tissue topology, Pyrex is used for molecular docking, and Biovia Discovery Studio is used to visualize docking results. There are 16 cinnamon bark compounds that have a Pa value &amp;gt; 0.5. Based on the docking results, compounds that have a Pa value&amp;gt; 0.5. Based on docking results, beta caryopyhllene, caryopyhllene, fatty acid, and isocaryopyhllene compounds have PPARA activator mechanism with binding affinity of -7.4 kcal/mol, -7.9 kcal/mol, -7.8 kcal/mol, and -5.6 kcal/mol. Caffeic acid compounds have an MMP-9 activator mechanism with a binding affinity of -5.7 kcal/mol. Visualization of docking results shows that isocaryopyhllene and caffeic acid compounds have similar interactions and amino acid residues with control drugs so that they can be used as anti-inflammatory agents.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-07-10</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/JSTRP/article/view/6189</dc:identifier>
	<dc:identifier>10.15294/jstrp.v4i1.6189</dc:identifier>
	<dc:source xml:lang="en">Journal of Science and Technology Research for Pharmacy; Vol. 4 No. 1 (2024): Journal of Science and Technology Research for Pharmacy</dc:source>
	<dc:source>2776-0685</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/JSTRP/article/view/6189/4336</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Journal of Science and Technology Research for Pharmacy</dc:rights>
</oai_dc:dc>