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All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences
Grahadi, Rahmat
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Agriculture, Biological Sciences & Forestry Environmental Science

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Design of Epitope-Based Vaccine Against SARS-CoV-2: An Immuno-Informatics Study: Epitope-Based Vaccine Against SARS-CoV-2 Kusuma, Kavana Hafil; Widyananda, Muhammad Hermawan; Nafisah, Wirdatun; Grahadi, Rahmat; Christina, Yuyun Ika; Dwijayanti, Dinia Rizqi; Mustikaningtyas, Dewi; Widodo, Nashi; Djati, Muhammad Sasmito
Journal of Tropical Life Science Vol. 14 No. 3 (2024): In Press
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jtls.14.03.07

Abstract

This study aimed to develop an epitope-based vaccine of SARS-CoV-2 S protein through an immuno-informatics study. The whole genome of SARS-CoV-2 sequences was obtained from the GISAID database and then trimmed to obtain the S protein sequences. The alignment was done by Clustal-W of MEGA software. Epitope prediction and modeling were performed by Discotope BepiPred and the PepFold3 web server. The allergic responses and physicochemical characteristics of predicted epitopes were analyzed using the AlgPred and ProtParam from ExPASy. Molecular docking and dynamic stimulation were performed using AutoDock Vina and YASARA. Biovia Discovery Studio 2019 was used to visualize the molecular docking results. The study predicted 3 potential epitopes, including ‘GDEVRQIAPGQTGKIADYNYKLP’ (epitope 1), ‘YTMSLGAENSVAYSNN’ (epitope 2), and ‘VNNSYECDIPI’ (epitope 3) located in the spike head specifically RBD region. The epitopes did not show an allergen reaction based on IgE epitope mapping. The suitable overexpression for the host of epitopes was mammalian cells. Only epitopes 1 and 2 were stable (instability index above 40). Epitopes 1, 2, and 3 interacted with BCR with binding affinity values -6.6, -7.8, and -7.5 kcal/mol. Epitope 2 wasere stable when interacting with the BCR. Therefore, three epitopes were predicted to have high potency as the SARS-CoV-2 epitope-based vaccine.
Design of Epitope-Based Vaccine Against SARS-CoV-2: An Immuno-Informatics Study: Epitope-Based Vaccine Against SARS-CoV-2 Kusuma, Kavana Hafil; Widyananda, Muhammad Hermawan; Nafisah, Wirdatun; Grahadi, Rahmat; Christina, Yuyun Ika; Dwijayanti, Dinia Rizqi; Mustikaningtyas, Dewi; Widodo, Nashi; Djati, Muhammad Sasmito
Journal of Tropical Life Science Vol. 14 No. 3 (2024)
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jtls.14.03.07

Abstract

This study aimed to develop an epitope-based vaccine of SARS-CoV-2 S protein through an immuno-informatics study. The whole genome of SARS-CoV-2 sequences was obtained from the GISAID database and then trimmed to obtain the S protein sequences. The alignment was done by Clustal-W of MEGA software. Epitope prediction and modeling were performed by Discotope BepiPred and the PepFold3 web server. The allergic responses and physicochemical characteristics of predicted epitopes were analyzed using the AlgPred and ProtParam from ExPASy. Molecular docking and dynamic stimulation were performed using AutoDock Vina and YASARA. Biovia Discovery Studio 2019 was used to visualize the molecular docking results. The study predicted 3 potential epitopes, including ‘GDEVRQIAPGQTGKIADYNYKLP’ (epitope 1), ‘YTMSLGAENSVAYSNN’ (epitope 2), and ‘VNNSYECDIPI’ (epitope 3) located in the spike head specifically RBD region. The epitopes did not show an allergen reaction based on IgE epitope mapping. The suitable overexpression for the host of epitopes was mammalian cells. Only epitopes 1 and 2 were stable (instability index above 40). Epitopes 1, 2, and 3 interacted with BCR with binding affinity values -6.6, -7.8, and -7.5 kcal/mol. Epitope 2 wasere stable when interacting with the BCR. Therefore, three epitopes were predicted to have high potency as the SARS-CoV-2 epitope-based vaccine.
Daruju (Acanthus ilicifolius L.) May Exhibit Anti-Breast Cancer Activity Through Inhibition of Proliferation Regulators: A Computational Study: Daruju (Acanthus ilicifolius L.) as Anti-Breast Cancer Agent Rosyadah, Nuraini; Kamila, Fairuz Sarah; Hermanto, Feri Eko; Widyananda, Muhammad Hermawan; Grahadi, Rahmat; Dwijayanti, Dinia Rizqi; Widodo, Nashi; Ulfa, Siti Mariyah
Journal of Tropical Life Science Vol. 15 No. 1 (2025)
Publisher : Journal of Tropical Life Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/

Abstract

Breast cancer's increasing prevalence globally underscores the urgent need for effective and gentle therapies, positioning the exploration of herbal remedies as a critical pursuit. Daruju (Acanthus ilicifolius L.) emerges as a compelling candidate due to its inherent bioactive components. This research pioneers the application of advanced computational techniques to unveil the latent anti-breast cancer potential within A. ilicifolius. Our in-silico investigation commenced by cataloging A. ilicifolius compounds using the KNApSAcK database and existing literature. These compounds underwent rigorous screening for drug-like characteristics via SWISS-ADME and potential biological activity using PASS ONLINE. Protein targets relevant to breast cancer were predicted through SWISS Target and the STRING database, integrated with Cytoscape for network visualization. Molecular docking, performed with PyRx 0.8, assessed the binding strength between the identified compounds and target proteins, with the most promising interactions selected for further scrutiny. The stability of these crucial interactions was then evaluated through molecular dynamics simulations using YASARA. This comprehensive computational strategy aims to pinpoint potential anti-breast cancer agents derived from A. ilicifolius. Initial analysis of 17 compounds from A. ilicifolius, based on chromatography, databases, and prior studies, narrowed down to five that adhered to Lipinski’s Rule of Five for drug-likeness: 4-O-beta-D-glucosyl-4-coumaric acid, (-)-lyoniresinol, α-amyrin, adenosine, and p-coumaric acid. These compounds were predicted to directly interact with key breast cancer-related proteins across pathways like estrogen signaling, JAK/STAT, and PI3K/AKT. Notably, molecular docking revealed strong binding affinities for α-amyrin with CDK4, ER, and EGFR (-7.5 kcal/mol, -9.5 kcal/mol, and -8.7 kcal/mol, respectively), comparable to known inhibitors. Molecular dynamics simulations further corroborated the stability of these complexes, analyzing RMSD and binding affinity parameters. Consequently, α-amyrin stands out as a promising anti-breast cancer agent within A. ilicifolius, exhibiting potential to inhibit proteins crucial for breast cancer cell proliferation and survival, including CDK4, ER, and EGFR.
Co-Authors Dewi Mustikaningtyas Dinia Rizqi Dwijayanti Hermanto, Feri Eko Kamila, Fairuz Sarah Kusuma, Kavana Hafil Moch Sasmito Djati Nafisah, Wirdatun Nashi Widodo Rosyadah, Nuraini Siti Mariyah Ulfa Widyananda, Muhammad Hermawan Yuyun Ika Christina