Melola Discovery

← Melola Discovery

Jurnal

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

Indonesian Journal of Mathematics and Natural Sciences · Vol. 48 No. 1 (2025) · hlm. 1–11

DOI
10.15294/jdcd5m11
ISSN
2774-7832
Terbit
2025-04-30
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

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 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.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 100 tautan kepenulisan bersama · menampilkan 40 yang paling banyak terhubung

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • State University of Semarang
  • Universitas Indraprasta PGRI
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Ari YuniastutiState University of Semarang7
Retno Sri IswariState University of Semarang5
Wulan ChristijantiAfiliasi tidak diketahui3
Aditya MariantiAfiliasi tidak diketahui3
Siti Harnina BintariAfiliasi tidak diketahui3
Nugrahaningsih WHAfiliasi tidak diketahui2
Wiwi IsnaeniState University of Semarang2
Priyantini WidiyaningrumAfiliasi tidak diketahui2
Ani RusilowatiState University of Semarang2
Didik Huswo UtomoAfiliasi tidak diketahui2
Enni Suwarsi RahayuState University of Semarang2
Lili Astuti IsnaeniAfiliasi tidak diketahui2
Yanuarita TursinawatiAfiliasi tidak diketahui1
Dinar Diyah AstutiAfiliasi tidak diketahui1
Kartika WidiyaningrumAfiliasi tidak diketahui1
Prima Gita Islami IslamiAfiliasi tidak diketahui1
Eva Ulfiatus ShofiaAfiliasi tidak diketahui1
Anggun Try SetyaningsihAfiliasi tidak diketahui1
Bagus Hammam FalahAfiliasi tidak diketahui1
Nana Kariada MartutiAfiliasi tidak diketahui1
Retno PurwantiAfiliasi tidak diketahui1
- UmarudinAfiliasi tidak diketahui1
Rheza Alfy YuliantoAfiliasi tidak diketahui1
Yuliana AstrianaAfiliasi tidak diketahui1
Ning SetiatiAfiliasi tidak diketahui1
Muhammad Rofiq NezarAfiliasi tidak diketahui1
Margareta RahayuningsihAfiliasi tidak diketahui1
Denny Herbianto BahtiarAfiliasi tidak diketahui1
Fatchun NaimAfiliasi tidak diketahui1
Siti Rofiatus Sa’adahAfiliasi tidak diketahui1
Sri UtamiUniversitas Indraprasta PGRI1
Yenni Tyas Wulandari K. EAfiliasi tidak diketahui1
Masrukan MasrukanState University of Semarang1
Heru SetyantoAfiliasi tidak diketahui1
Triastuti SulistyaningsihAfiliasi tidak diketahui1
Tri Sri NoorAsihAfiliasi tidak diketahui1
Fitri Arum SasiAfiliasi tidak diketahui1
Khoerina SalwaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/JM/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 5 Nov 2026.
Metadata asli (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 Cinnamomum (Cinnamomum verum) Bark as Anti-inflammatory</dc:title>
	<dc:creator xml:lang="en">Islami, Prima Gita</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 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>2025-04-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/JM/article/view/6583</dc:identifier>
	<dc:identifier>10.15294/jdcd5m11</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Mathematics and Natural Sciences; Vol. 48 No. 1 (2025): Volume 48 Nomor 1 Tahun 2025; 1-11</dc:source>
	<dc:source>2774-7832</dc:source>
	<dc:source>10.15294/9rk2ds69</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/JM/article/view/6583/3807</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Indonesian Journal of Mathematics and Natural Sciences</dc:rights>
</oai_dc:dc>