Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Lusi Agus Setiani, Deden Ardiansyah, Asep Saepulrohman, Arief Rachman Hakim, Olandina Cahyani P

Judul : Analisis Graph Mining dalam Penentuan Senyawa Dan Tanaman Obat Indonesia Sebagai Antihipertensi

Abstrak :
Hypertension, also known as high blood pressure, is a degenerative disease whose prevalence tends to increase every year. People in Indonesia generally treat this disease by using a mixture of several types of herbal plants or so-called herbs. This study aims to find out the potential of compounds and plants that have effectiveness as antihypertensives by combining the concept of multicomponent-multi-target with a bioinformatics approach. This study aims to find out the potential of compounds and medicinal plants in Indonesia that have effectiveness as antihypertensives using graph mining analysis. Graph tracing techniques can be applied to search for compounds and plants related to target proteins in a disease. Patikan kebo (Euphorbia factor Ti2, betaAmyrin, alpha-Amyrin), mango (3-Carene, L-Histidine), cayenne pepper (Capsanthin, Capsorubin, Solasonine), papaya (L-Histidine, Sterol, Caffeine), and fenugreek ( L-Histidine) is the best plant that acts as an antihypertensive agent by targeting 4 proteins or about 80% of the total 5 significant proteins in hypertension.

Tahun : 2022 Media Publikasi : Jurnal Nasional Terakreditasi B

Kategori : Jurnal No/Vol/Tahun : 1 / 19 / 2022

ISSN/ISBN : 1693-7554 (Print) | 2654-3990 (Online)

PTN/S : Universitas Pakuan Program Studi : ILMU KOMPUTER

Bibliography :
Afendi, F. M., Okada, T., Yamazaki, M., Hirai-Morita, A., Nakamura, Y., Nakamura, K., . . . Kanay., S. (2012). KNApSAcK Family Databases: Integrated Metabolite-Plant Species Databases for Multifaceted Plant Research. Plant Cell Physiology, Vol. 53(2): el (1-12).

Demsar, J., Zupan, B., & Leban, G. (2004). Orange : From Experimental Machine Learning. Knowledge Discovery in Databases: PKDD 2004, 537-539.

Dennis G, S. B. (2003). DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biology.

PubChem. (2018). Open chemistry database. Retrieved 12 5, 2018, from Copper: https://pubchem.ncbi.nlm.nih.gov/compound/copper#section=Top.

Ran, J., Li, H., Fu, J., Liu, L., Xing, Y., Li, X., Shen, H., Chen, Y., Jiang, X., Li, Y., & Li, H. (2013). Construction and analysis of the protein-protein interaction network related to essential hypertension. BMC Systems Biology, 7. https://doi.org/10.1186/1752-0509-7-32

Shannon, Paul, Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., . . . Ideker, T. (2003). Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks.

Szklarczyk, Damian, Morris, J. H., Cook, H., Kuhn, M., Wyder, S., . . . Mering, C. V. (2017). The STRING Database In 2017: Quality - Controlled Protein - Protein Association Networks, Made Broadly Accessible. Nucleic Acids Research, Vol 45. Database issue.

Torgo, L. (2011). Data Mining with R : Learning with Case Studies. USA : Taylor and Francis Group: LLC.

Riskesdas. (2018). Hasil Utama Riset Kesehatan Dasar. Kementrian Kesehatan Republik Indonesia, 1–100.

URL : https://journal.unpak.ac.id/index.php/komputasi/article/view/4284/2802

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Detail Karya Ilmiah Dosen

Lusi Agus Setiani, Deden Ardiansyah, Asep Saepulrohman, Arief Rachman Hakim, Olandina Cahyani P

Judul	:	Analisis Graph Mining dalam Penentuan Senyawa Dan Tanaman Obat Indonesia Sebagai Antihipertensi
Abstrak	:	Hypertension, also known as high blood pressure, is a degenerative disease whose prevalence tends to increase every year. People in Indonesia generally treat this disease by using a mixture of several types of herbal plants or so-called herbs. This study aims to find out the potential of compounds and plants that have effectiveness as antihypertensives by combining the concept of multicomponent-multi-target with a bioinformatics approach. This study aims to find out the potential of compounds and medicinal plants in Indonesia that have effectiveness as antihypertensives using graph mining analysis. Graph tracing techniques can be applied to search for compounds and plants related to target proteins in a disease. Patikan kebo (Euphorbia factor Ti2, betaAmyrin, alpha-Amyrin), mango (3-Carene, L-Histidine), cayenne pepper (Capsanthin, Capsorubin, Solasonine), papaya (L-Histidine, Sterol, Caffeine), and fenugreek ( L-Histidine) is the best plant that acts as an antihypertensive agent by targeting 4 proteins or about 80% of the total 5 significant proteins in hypertension.
Tahun	:	2022	Media Publikasi	:	Jurnal Nasional Terakreditasi B
Kategori	:	Jurnal	No/Vol/Tahun	:	1 / 19 / 2022
ISSN/ISBN	:	1693-7554 (Print) \| 2654-3990 (Online)
PTN/S	:	Universitas Pakuan	Program Studi	:	ILMU KOMPUTER
Bibliography	:	Afendi, F. M., Okada, T., Yamazaki, M., Hirai-Morita, A., Nakamura, Y., Nakamura, K., . . . Kanay., S. (2012). KNApSAcK Family Databases: Integrated Metabolite-Plant Species Databases for Multifaceted Plant Research. Plant Cell Physiology, Vol. 53(2): el (1-12). Demsar, J., Zupan, B., & Leban, G. (2004). Orange : From Experimental Machine Learning. Knowledge Discovery in Databases: PKDD 2004, 537-539. Dennis G, S. B. (2003). DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biology. PubChem. (2018). Open chemistry database. Retrieved 12 5, 2018, from Copper: https://pubchem.ncbi.nlm.nih.gov/compound/copper#section=Top. Ran, J., Li, H., Fu, J., Liu, L., Xing, Y., Li, X., Shen, H., Chen, Y., Jiang, X., Li, Y., & Li, H. (2013). Construction and analysis of the protein-protein interaction network related to essential hypertension. BMC Systems Biology, 7. https://doi.org/10.1186/1752-0509-7-32 Shannon, Paul, Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., . . . Ideker, T. (2003). Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks. Szklarczyk, Damian, Morris, J. H., Cook, H., Kuhn, M., Wyder, S., . . . Mering, C. V. (2017). The STRING Database In 2017: Quality - Controlled Protein - Protein Association Networks, Made Broadly Accessible. Nucleic Acids Research, Vol 45. Database issue. Torgo, L. (2011). Data Mining with R : Learning with Case Studies. USA : Taylor and Francis Group: LLC. Riskesdas. (2018). Hasil Utama Riset Kesehatan Dasar. Kementrian Kesehatan Republik Indonesia, 1–100.
URL	:	https://journal.unpak.ac.id/index.php/komputasi/article/view/4284/2802