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POTENSI GEN ONCOPROTEIN HUMAN PAPILLOMAVIRUS TIPE 16 SEBAGAI KANDIDAT VAKSIN KANKER SERVIKS Taupiqurrohman, Opik; Yusuf, Muhammad; Nuswantara, Sukma; Subroto, Toto
Majalah Kedokteran Bandung Vol 48, No 2 (2016)
Publisher : Faculty of Medicine, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (24.911 KB) | DOI: 10.15395/mkb.v48n2.761

Abstract

Kanker serviks menduduki peringkat dua besar penyebab kematian pada wanita dengan jumlah penderita meningkat setiap tahunnya. Kanker ini banyak diakibatkan oleh infeksi human papillomavirus (HPV) dan tipe prevalensi terbesar di Indonesia adalah tipe HPV 16. Vaksin HPV telah dikembangkan dan diproduksi secara komersial, namun perlu dicari alternatif lain vaksin dengan basis gen penyandi E (early) protein. Gen E6 dan E7 merupakan onkogen penting pada proses terjadinya kanker serviks. Penelitian ini dilaksanakan di Laboratorium Kimia Komputasi dan Bioinformatika, Universitas Padjadjaran, dari bulan Desember 2015 sampai Februari 2016. Pada studi ini, penemuan kandidat vaksin peptida HPV dilakukan dengan pendekatan imunoinformatika. Analisis in silico HPV tipe 16 menunjukkan bahwa gen E7 merupakan sumber kandidat vaksin yang potensial karena tidak homolog dengan genom manusia dan diprediksi memiliki afinitas yang baik terhadap major histocompability complex (MHC). Hasil analisis in silico menunjukkan bahwa kandidat vaksin HPV dari gen E7 adalah peptida YMLDLQPET dan HVDIRTLEDLLMGTL. [MKB. 2016;48(2):84?91]Kata kunci: HPV tipe 16, imunoinformatika, in silico, kanker serviksHuman Papillomavirus Type 16 Oncoprotein Genes as the Candidate of Cervical Cancer VaccineCervical cancer is the second largest cause of death for Indonesian women, with increasing number of cases every year. This cancer is mostly caused by human papillomavirus (HPV) infection, in which HPV 16 is the most prevalent type in Indonesia. Although HPV vaccine has been developed and commercially available, the other alternative of vaccine based on E (early) gene is required. Genes of E6 and E7 are important oncogenes in the development of cervical cancer. This study was conducted at the Laboratory of Computational Chemistry and Bioinformatics, Universitas Padjadjaran, from December 2015 to February 2016. In this study, the candidates of HPV peptide vaccine were discovered using immunoinformatics method. In silico-analysis of HPV type 16, it  was shown gene E7 is not homologous with human genome and it is predicted to have a good affinity with major histocompability complex (MHC). Hence, it was proposed as a potential source of peptide vaccine. It is concluded that he candidates forHPV vaccine from E7 peptides are YMLDLQPET  and HVDIRTLEDLLMGTL. [MKB. 2016;48(2):84?91]Key words: Cervical cancer HPV 16, immunoinformatics, in silico
Cellular mechanisms of microplastic and nanoparticle exposure and its relationship with metabolic diseases: Literature review Syarifah, Ismi Farah; Hasby, Rizal Maulana; Taupiqurrohman, Opik; Mahroji, Mokhamad
Biological Environment and Pollution Vol. 5 No. 1 (2025)
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/bioenvipo.v5i1.880

Abstract

Microplastics (MP) and nanoparticles (PS-NPs) are emerging environmental contaminants of significant concern due to their adverse effects on human health. This study systematically reviews the impact of these pollutants on cellular mechanisms, with a specific focus on their association with metabolic diseases. Data were collected from various scientific publications relevant to the research topic. Research findings indicate that exposure to microplastics (MP) can result in a reduction in triglyceride and total cholesterol levels, while also disrupting insulin signaling pathways, thereby contributing to insulin resistance. Additional studies have demonstrated that exposure to nanoparticles (PS-NPs) in pregnant mice may increase the risk of metabolic disorders in their offspring. Moreover, PS-NP exposure has been shown to exacerbate type 2 diabetes by inhibiting the AKT/GSK3β pathway. Collectively, exposure to microplastics and nanoparticles has the potential to aggravate metabolic disorders and increase the risk of metabolic diseases, including diabetes, obesity, and cardiovascular conditions. These findings offer valuable insights into the potential health risks associated with environmental exposure to microplastics and nanoparticles and underscore the critical importance of addressing microplastic pollution to human health.
Immunoinformatics Study on Early 4 Protein of Human Papillomavirus Type 16 for Cervical Cancer Vaccine Peptide Candidate Suryani, Yani; Taupiqurrohman, Opik; Yusuf, Muhammad; Subroto, Toto; Nuswantara, Sukma
Jurnal Biodjati Vol 4 No 2 (2019): November
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/biodjati.v4i2.5414

Abstract

 The aims of this study were to carry out testing of the early 4 protein of type 16 HPV through immunoinformatics meth-ods in an effort to get the peptide vaccine candidate for cervical cancer. The software used are IEDB-AR, CABSdock and Accelrys Discovery Study 4.5. Based on the analysis that sequence of ami-no acid lysine, leucine, leucine, glycine, serine, threonine, tryp-tophan, proline and threonine (KLLGSTWPT) and the sequence of amino acid tyrosine, tyrosine, valine, leucine, histidine, leucine, cysteine, leucine, alanine, alanine, threonine, lysine, tyrosine, pro-line and leucine (YYVLHLCLAATKYPL) are peptide vaccine can-didate for cervical cancer from the early 4 protein of HPV type 16 
Anticancer Potency of Dimethyl 2-(2-Hydroxy-2-Methoxypropilidine) Malonate in Kombucha Taupiqurrohman, Opik; Rezaldi, Firman; Amalia, Dina; Suryani, Yani
Jurnal Biodjati Vol 7 No 1 (2022): May
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/biodjati.v7i1.14634

Abstract

Kombucha has an anticancer potency because it has dimethyl 2-(2-hydroxy-2-methoxypropilidine) malonate compound. The research aimed to verify the compound dimethyl 2-(2-hydroxy-2-methoxypropilidine) malonate as an anticancer with the in-silico method, namely the molecular docking approach, drug likeness profile, and ADMET test. The tools used were the PyRx, Discovery Studio Visualizer, Sanjeevini, and pkCSM. The research material consisted of 3D Dimethyl 2-(2-Hydroxy-2-Methoxypropilidine) Malonate and Epidermal Growth Factor Receptor (EGFR). The analysis showed Dimethyl 2-(2-Hydroxy-2-Methoxypropilidine) Malonate is safe for consumption and can suppress cancer cells. 
Pharmacophore Analysis of Monoterpene Melaleuca leucadendra as an Inhibitor for 3CLPro of the SARS-CoV-2 Syarifah, Ismi Farah; Suryani, Yani; Adzani, Ghea Gema; Kurniawan, Isma Dwi; Taupiqurrohman, Opik
Jurnal Biodjati Vol 7 No 2 (2022): November
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/biodjati.v7i2.20496

Abstract

The monoterpene compound has been reported to have antiviral activities . This study aimed to test the monoterpene compound in Melaleuca leucadendra to inhibit the SARS-CoV-2 virus. The monoterpenes tested were α-Pinene, β-Pinene, Linalool, α-Terpineol, and Terpinene-4-Ol. The method used was computational through pharmacophore analysis. The indicator for the quality of the compound was the fit score. A fit score of more than 50% indicates a good-quality compound, while a fit score of less than that indicates a  poor-quality compound. Based on the analysis results, the monoterpene compound in Melaleuca leucadendra can potentially inhibit the SARS-CoV-2 virus directly through the inhibition of 3C-like protease. The linalool showed a fit score of 55% with interactions of hydrophobic, electrostatic, and hydrogen bonds. All the compounds did not inhibit the metabolic process and were safe, possibly having no side effects based on ADMET analysis.