IIn Silico Testing On The Activity Of Flavonol In Sterculia foetida Leaf As Natural Anti Hyperlipidemia Compounds

Syam, Nindrahayu; Ariyandy, Andi; Yustisia, Ika; Sulfahri; Yusfina

Jurnal

IIn Silico Testing On The Activity Of Flavonol In Sterculia foetida Leaf As Natural Anti Hyperlipidemia Compounds

International Journal of Applied Biology · Vol. 6 No. 1 (2022) · pp. 144–148

ISSN: 2580-2119, 2580-2410
Published: 2022-07-07
Publisher: Hasanuddin University
Language: en

Abstract

This study aims to measure the biological activity of flavonols in the leaves of Sterculia foetida as an antihyperlipidemic drug. The chemical structure of flavonols contained in the leaves of Sterculia foetida was taken from the literature. The target protein used was 3-hydroxy 3-methylglutaryl coenzyme A reductase and the control was simvastatin. Water molecules have been removed with PyMol v2.5.2 Software. Docking between the target protein and flavonols was performed using PyRx-Python Prescription 0.8 Software. The results showed that flavonol compounds have greater potential for antihyperlipidemia compared to control compounds. The equivalent affinity of 3-hydroxy 3-methylglutaryl coenzyme A reductase for flavonols is -8.3, and the affinity of 3-hydroxy-3-methylglutaryl coenzyme A reductase for simvastatin is -7.9. Flavonol toxicity studies have shown that flavonols are not potentially carcinogenic and did not cause mutations. The absorption of flavonols in water was higher than that of the control compound.

Keywords

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15 authors · 38 co-authorship links

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Co-author	Organisation	Joint articles
Nindrahayu	Affiliation unknown	2
Ami Febriza	Affiliation unknown	2
Andi Irwan Muluk	Affiliation unknown	2
Rosdiana Natsir	Affiliation unknown	1
Desi Dwirosalia Suparman	Affiliation unknown	1
Aryadi Arsyad	Affiliation unknown	1
Muhammad husni Cangara	Affiliation unknown	1
Ilhamjaya Patellongi	Affiliation unknown	1
Yulia Yusrini Djabir	Affiliation unknown	1
Sasmita Sasmita	Affiliation unknown	1

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.unhas.ac.id/index.php/ijoab/oai, first harvested 3 Nov 2026, last seen 3 Nov 2026.

Original metadata (oai_dc)

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	<dc:title xml:lang="en">IIn Silico Testing On The Activity Of Flavonol In Sterculia foetida Leaf As Natural Anti Hyperlipidemia Compounds</dc:title>
	<dc:creator xml:lang="en">Syam, Nindrahayu</dc:creator>
	<dc:creator xml:lang="en">Ariyandy, Andi</dc:creator>
	<dc:creator xml:lang="en">Yustisia, Ika</dc:creator>
	<dc:creator xml:lang="en">Sulfahri</dc:creator>
	<dc:creator xml:lang="en">Yusfina</dc:creator>
	<dc:subject xml:lang="en">antihyperlipidemia, Sterculia foetida, flavonols, 3-hydroxy-3-methylglutaryl coenzyme A reductase</dc:subject>
	<dc:subject xml:lang="en">This paper have been presented at the 1st ICoB 2021 on December 11, 2021 and got LoA</dc:subject>
	<dc:description xml:lang="en">This study aims to measure the biological activity of flavonols in the leaves of &amp;nbsp;Sterculia foetida as an antihyperlipidemic drug. The chemical structure of flavonols contained in the leaves of Sterculia foetida was taken from the literature. The target protein used was 3-hydroxy 3-methylglutaryl coenzyme A reductase and &amp;nbsp;the control was simvastatin. Water &amp;nbsp;molecules have been removed with PyMol &amp;nbsp;v2.5.2 Software. Docking between the target protein and flavonols was performed using PyRx-Python Prescription 0.8 Software. The results showed that flavonol compounds have greater potential for antihyperlipidemia compared to control compounds. The equivalent affinity of 3-hydroxy 3-methylglutaryl coenzyme A reductase for flavonols is -8.3, and the affinity of 3-hydroxy-3-methylglutaryl coenzyme A reductase for simvastatin is -7.9. Flavonol toxicity studies have shown that flavonols are not potentially carcinogenic and did not cause mutations. The absorption of flavonols in water was higher than that of the control compound.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2022-07-07</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.unhas.ac.id/index.php/ijoab/article/view/19918</dc:identifier>
	<dc:source xml:lang="en">International Journal of Applied Biology; Vol. 6 No. 1 (2022): International Journal of Applied Biology; 144-148</dc:source>
	<dc:source>2580-2119</dc:source>
	<dc:source>2580-2410</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/ijoab/article/view/19918/8410</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2022 International Journal of Applied Biology</dc:rights>
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