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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.
PERBEDAAN SIFAT BIOPLASTIK LIMBAH KULIT SINGKONG DENGAN BIOPLASTIK TEPUNG TAPIOKA Rahmawati, Maya Putri; Fajriyanti, Lisa Amelia; Afiddah, Tawallani; Mustikaningtyas, Dewi; Atunnisa, Rifa'
Proceeding Seminar Nasional IPA 2023
Publisher : LPPM UNNES

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Abstract

Plastik merupakan salah satu faktor masalah di lingkungan karena proses daur ulang sampah plastik membutuhkan waktu yang cukup lama seperti kantong plastik. Berdasarkan hal tersebut maka dibutuhkan suatu energi alternatif berbahan plastik yang diperoleh dari bahan yang tersedia di alam dan cepat terurai yaitu bioplastik atau plastic biodegradable dari bahan polimer alami seperti pati. Dimana bioplastik tersebut dapat dijadikan pengganti plastik konvensional karena cepat terdegradasi dan ramah lingkungan. Salah satu bahan pati dengan selulosa yang dapat digunakan yaitu kulit umbi singkong. Tujuan dilakukannya eksperimen ini adalah untuk mengetahui perbedaan sifat bioplastik limbah kulit singkong dengan bioplastik tepung tapioka. Berdasarkan hasil eksperimen yang telah dilakukan dan melalui beberapa tahap pengujian seperti pengujian pada warna, ketahanan terhadap air, ketebalan, elastisitas, dan kekuatan terhadap barang. Didapatkan hasil bioplastik dari tepung tapioka sifat ujinya lebih unggul daripada bioplastik dari limbah kulit singkong. Faktor yang mempengaruhi perbedaan sifat antara kedua bioplastik tersebut yaitu panas matahari serta kandungan pati di dalam bahan. Dimana pada hari pengujian untuk bioplastik dari limbah kulit singkong belum sepenuhnya kering dibandingkan dengan bioplastik dari tepung tapioka dan pati pada kulit singkong lebih sedikit dibandingkan dengan tepung tapioka.
PEMANFAATAN LIMBAH KULIT BUAH UNTUK PEMBUATAN EKOENZIM Faj'ria, Nur; Wara, Adisti Danis; Sofiyani, Rakhma Dita; Fadhilah, Nurul; Mustikaningtyas, Dewi; Atunnisa, Rifa'
Proceeding Seminar Nasional IPA 2023
Publisher : LPPM UNNES

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Abstract

Ekoenzim merupakan cairan yang dihasilkan dari fermentasi bahan organik berupa sayuran dan kulit buah dengan campuran substrat gula merah dan air. Ekoenzim memiliki beberapa kegunaan sebagai anti jamur, anti bakteri, agen insektisida, pupuk tanaman, pembersih lantai, disinfektan, pembersih aliran selokan dan masih banyak lagi. Dalam penelitian ini pembuatan ekoenzim dilakukan dengan memanfaatkan beberapa limbah kulit buah yang ada di sekitar Universitas Negeri Semarang. Tujuan dari penelitian ini yaitu memanfaatkan limbah kulit buah menjadi suatu produk bermanfaat berupa ekoenzim. Pengambilan limbah kulit diperoleh dari sisa produksi jus buah yang ada di sekitar Universitas Negeri Semarang. Limbah kulit buah diolah sebagai produk ekoenzim dengan menambahkan gula merah sebagai substrat dan difermentasikan. Hasil yang diperoleh dari fermentasi selama tiga bulan berupa cairan berwarna kuning kecoklatan beraroma asam segar serta terdapat endapan berwarna kuning. Dari hasil tersebut menunjukkan bahwa ekoenzim yang dibuat dapat layak untuk digunakan sebagaimana mestinya.
Pengintegrasian Sumber Belajar Digital dalam Pembelajaran Biologi bagi Guru Biologi Kabupaten Brebes Anggraito, Yustinus Ulung; R. Susanti, R. Susanti; Mustikaningtyas, Dewi; Widiatningrum, Talitha; Alimah, Siti
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 3 (2024): SEPTEMBER 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i3.2339

Abstract

The partner in this Community Service (CS) activity is the Brebes Regency Biology Subject Teachers' Conference (MGMP). This CS activity aims to increase Biology teachers' knowledge and skills regarding digital learning resources on Biodiversity material based on the 2023 Merdeka Curriculum. The method used is discussion and practice using digital learning resources in learning, adapting the Merdeka Curriculum. CS implementation activities include pretest, conceptual strengthening, and practice using digital learning resources, post-tests, and independent assignments. The material for CS activities is using the NCBI database; viruses, vaccines, and their problems; creating a phylogenetic tree using the MEGA 11 program; SINTA as a learning resource; and integrating digital learning resources in learning. The knowledge test results showed that 73.3% of participants completed it, with an average N-gain of 0.6 (medium category). The post-test score was significantly different from the pretest score based on the T-test and as many as 70% of participants completed the task independently. From the activity results, it can be concluded that participants' knowledge of digital learning resources has increased and they are skilled at using them in learning design. Mastery of digital learning resources helps teachers face the Era of Society 5.0.
Analysis of the Validity and Readability of Google Sites Learning Media with a STEM Approach on Mutation Material to Improve Student Critical Thinking Skills Nurussalma, Syafina; Yuniastuti, Ari; Mustikaningtyas, Dewi; Parmin, Parmin
Unnes Science Education Journal Vol. 13 No. 2 (2024): August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/usej.v13i2.8364

Abstract

The use of technology is currently relevant to the implementation of the ‘Merdeka Belajar’ Curriculum, but has an impact on students' critical thinking skills and learning media needs. This means that educators need to provide innovation in learning that is linked to technology. This study purpose to analyze the validity and readability of Google Sites learning media with a STEM approach to mutation material. This study used research and development (R&D) methods but was limited to the implementation stage, namely small-scale testing. A small-scale trial was carried out on 20 students of class XII MIPA 2 at Gemuh 1 Senior High School. The instruments used in this study were validation sheets and media readability questionnaires. Product validity criteria are seen from the validator's assessment. Criteria for media readability are seen from the results of student questionnaires. The study results show that the validity of the media was declared very valid based on the assessment of media experts at 96% and material experts at 93.56%. The media readability value was declared very good based on student assessments of 88.64%, so it has the potential to improve high school students' critical thinking skills.
Effectiveness of Creative Problem Solving (CPS) - STEM Learning Model on Students’ Computational Thinking and Digital Literacy Skills in Biotechnology Material Indriani, Betty; Saptono, Sigit; Mustikaningtyas, Dewi; Yuniastuti, Ari
Unnes Science Education Journal Vol. 13 No. 2 (2024): August 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/usej.v13i2.8971

Abstract

Computational Thinking (CT) and digital literacy are skills students must possess to adapt and survive amidst the current technological advancements. One way to enhance students’ CT and digital literacy skills is through innovative learning models that align with the material being taught. Biotechnology is one of the subjects that students need to master in Phase E of the Merdeka Curriculum. This study aims to determine the effectiveness of the CPS-STEM learning model on students’ CT and digital literacy skills in biotechnology material. This research was conducted from April to May in the 2023/2024 academic year at three high schools in the Kayen, with a total population of 891 students. The sample used in this study was calculated using the Slovin formula, its 8 classes consisting of 2 control groups (72 students) and 2 experimental groups (217 students). This study is a quasi-experimental design with a pre-test and post-test group design. The STEM approach is integrated with CPS syntax outlined in the teaching module and assisted with student worksheets. CT skills were measured using post-test instruments, while digital literacy skills were measured using questionnaire. Data analysis was conducted to determine the effectiveness of the CPS-STEM learning model on CT skills, calculated using the N Gain test, while digital literacy skills were measured using a Likert scale. The results showed that the CPS-STEM was effective to improve CT skills in the medium category (0.40), whereas the direct instructional learning model was not effective in enhancing CT skills. This study also showed that the CPS-STEM learning model was effective in enhancing digital literacy skills with a percentage increase of 15.25% 
Evaluating SARS-CoV-2 Spike Protein Transfection in HEK-293T Cells for VLP Applications Rohmah, Ilmiana Nurur; Hafil Kusuma, Kavana; Ika Christina, Yuyun; Rizqi Dwijayanti, Dinia; Mustikaningtyas, Dewi; Widodo, Nashi; Sasmito Djati, Muhammad
The Journal of Experimental Life Science Vol. 14 No. 3 (2024)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2024.014.03.02

Abstract

The spike protein in SARS-CoV-2 works mainly to initiate infections, especially for binding to host cells and fusing with cell membranes. Characterizing SARS-CoV-2 spikes protein transfection cells could optimize the production of VLP in HEK-293T cells. Therefore, the present study aimed to investigate the characteristics of SARS-CoV-2 spike protein expression in transfected HEK-293T cells. Characterization of spike protein in transfected-HEK 293T cells was used to determine VLP formation in SARS-CoV-2. The study was conducted by isolating DNA and protein from transfected HEK 293T cells and analyzing spike expression using Polymerase Chain Reaction (PCR) and Flow Cytometry. The success of the SARS-CoV-2 spike protein transfection in PCR analysis has yet to be confirmed because DNA band smears do not specifically indicate the spike protein's size. However, the SARS-CoV-2 spike protein was successfully confirmed using flow cytometry with the percentage of spike-EGFP by 30%. Therefore, the present study confirmed the presence of spike protein in transfected HEK 293T cells by flow cytometry analysis. Keywords: Coronavirus, Characterization, DNA, Spike, Virus-Like Particle (VLP)
E-IK Transformasi DNA Untuk Praktikum Biologi Molekuler Maharani, Ria Ika; Mustikaningtyas, Dewi; Hadikawuryan, Danang Subarkah
BEST Journal (Biology Education, Sains and Technology) Vol 7, No 2 (2024): September 2024
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v7i2.9292

Abstract

Kemunculan bioteknologi molekuler dipelopori oleh rekayasa genetika, dimana meliputi manipulasi gen, kloning gen, Deoxyribonucleic acid (DNA) rekombinan, teknologi modifikasi genetik, dan genetika modern dengan menggunakan prosedur identifikasi, replikasi, modifikasi dan transfer materi genetik dari sel, jaringan, maupun organ. Kemajuan bioteknologi molekuler ini telah merambah disemua line kehidupan, sehingga dengan kondisi saat ini sebuah learning by doing sangat diperlukan sebagai bekal keterampilan. Salah satu tahap dalam rekayasa genetika ini adalah proses transformasi DNA, dimana diberikan pengetahuan dan keterampilan dalam melakukan proses transformasi DNA yang efektif dan efisien dengan tingkat keberhasilan tinggi. Kesiapan bahan dan peralatan harus mendukung dalam melakukan kegiatan rekayasa genetika, selain dari teknik praktik sesuai instruksi kerja (IK) yang jelas dan adaptif. Penelitian ini dirancang dengan tujuan mendapatkan E-IK Transformasi DNA menggunakan DH10B Competent Cells dengan metode heat sock. Metode penelitian berbasis project guna mendapatkan instruksi kerja yang dapat diaplikasikan di laboratorium Biologi FMIPA UNNES dan disajikan dalam bentuk digital berupa E-IK dengan model pengembangan 4-D yang memiliki empat tahap proses, yaitu Define, Design, Development, dan Disseminate. Tahapan akhir dilakukan uji coba hasil E-IK melalui uji validitas dan uji kelayakan. Hasil penelitian menghasilkan E-IK Transformasi DNA berbasis project dengan uji validasi dan uji kelayakan pada skor 79,58% dan 82,29%. Dengan perolehan skor tersebut masuk dalam kategori baik, sehingga dapat digunakan sebagai acuan dalam melakukan praktikum transformasi DNA.
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.
Isolation of Probiotic Lactic Acid Bacteria (LAB) From Commercialized Yogurt Based on 16s rRNA Gene Apriansyah Wibowo; Kaisar Akhmad Khan; Dewi Mustikaningtyas; Rizky Ajie Aprilianto
Sainteknol : Jurnal Sains dan Teknologi Vol. 23 No. 1 (2025): June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sainteknol.v23i1.19825

Abstract

Yogurt, a globally cherished dairy product, is celebrated not only for its creamy texture and tangy flavour but also for its numerous health benefits, primarily attributed to lactic acid bacteria (LAB). Key LAB species such as Lactobacillus bulgaricus and Streptococcus thermophilus drive the fermentation process, transforming milk into yogurt through lactic acid production. This study aims to isolate and identify LAB species from various yogurt brands using the 16S rRNA gene, employing advanced microbial analysis techniques such as PCR. Yogurt samples from five different brands were collected from a local convenience store in Gunungpati, Central Java, Indonesia. The bacterial inoculation was carried out using MRS agar, and isolated colonies were subjected to direct colony PCR with primers 27f and 1492r. The PCR products were analyzed using agarose gel electrophoresis. The results demonstrated that direct colony PCR is an effective technique for rapidly and accurately detecting bacterial species without the need for DNA extraction. All five yogurt samples contained Lactobacillus sp., as evidenced by the amplification of DNA fragments approximately 1500 base pairs in size. This study confirms the specificity and effectiveness of the 27f/1492r primers in identifying Lactobacillus sp., providing more information for further research on the probiotic roles of LAB in yogurt quality and health impacts.
Co-Authors Achmadi, Taofan Ali Afiddah, Tawallani Andin Irsadi Andiniyati, Fitri Anggyi Trisnawan Putra Anisa Dewi Sri Puspitasari Annis Aulia Hastuti, Annis Aulia Apriansyah Wibowo Aprilia Indra Kartika, Aprilia Indra Ari Yuniastuti Arif Widiyatmoko, Arif Arvidhea Safira Gunawan Astrid Farmayati Atunnisa, Rifa' Aulia Nur Lita, Aulia Nur Azkiyah, Nimas Catur B., F. Putut Martin H. Bambang Priyono Budi Astuti Burhan, Ilham Damar Galih Darmawan, Melissa Salma Dewi, Novi Ratna Didik Ariwibowo Dinia Rizqi Dwijayanti Elissa, Intan Ayu Ely Rudyatmi, Ely Endah Peniati Fahmi Arifan Faj'ria, Nur Fajriyanti, Lisa Amelia Fatimah Azzahra Febriyanto, Hendra Fidia Fibriana Fitri Arum Sasi, Fitri Arum Fitriyah, Nanda Delva Grahadi, Rahmat Gunawan, Arvidhea Safira Hadikawuryan, Danang Subarkah Hafil Kusuma, Kavana Haris, Amnan Hasyim Abdurrasyid Heriyanti, Andhina Putri Hery Sutarto Hisan, Aisyah Khoirotun Hisan, Aisyah Khoirotun Ibnul Mubarok Ibnul Mubarok Ika Christina, Yuyun Indah Hartati Indriani, Betty Irawati Irawati Isnaeni Karunia Annisa Kaisar Akhmad Khan Kartika Widyaningrum Kholil, Putri Alifa Krispinus Kedati Pukan Kusuma, Kavana Hafil Listiaji, Prasetyo Maftuhah, Anis Maharani, Ria Ika Marlita Marlita, Marlita Martien Herna Susanti Milah, Nihayatul Moch Sasmito Djati Mohamad Endy Yulianto Muhammad Abdullah Na:am, Muh Fakhrihun Nafisah, Wirdatun Nashi Widodo Natalia, Lidya Ayu Nicky, Dhea Nikmatul Hidayah Noor Aini Habibah Nugrahaningsih Nugrahaningsih Nugrahaningsih WH, Nugrahaningsih Nugraini, Anisa Ratna Nur Rahayu Utami Nurul Fadhilah Nurussalma, Syafina Parmin - Pramesti Dewi Priyantini Widiyaningrum Purwadi, Cintiya Egi Purwaningsih, Indri R Susanti R. Adi Susanti, R. Adi R. Susanti, R. Susanti Rahmawati, Maya Putri Rakainsa, Senda Kartika Ramadani, Mutiara Bintang Retno Sri Iswari Ria Ika Maharani Ria Ika Maharani Rizki Oktavia, Rizki Rizky Ajie Aprilianto Rizqi Dwijayanti, Dinia Rohmah, Ilmiana Nurur Romadhon, Vhaviriele Abel Salsabilla, Nur Hayati Afrilda Sasabila Mumtaz Sekar Jatiningrum Parnonansia Sekar Jatiningrum Parnonansia Sigit Saptono Siti Alimah Siti Harnina Bintari Siti Nur Chasanah, Siti Nur Sofiyani, Rakhma Dita Solichin Solichin Solikin, Ahmad Solikin, Ahmad Sri Sukaesih Sudarmin Sudarmin Sunarsih, Sarly Sutiyani, Iis Sutiyani, Iis Talitha Widiatningrum Trida Ridho Fariz Tuti Widianti Ufi Saraswati, Ufi Ulfa, Berlina Maika Ulung Anggraito , Yustinus Walandipa, Ghani Wara, Adisti Danis Wardana, Irfan Ihza Weni Ratna Nurlita Hening, Weni Ratna Nurlita Wicaksono, Maulana Malik Widyananda, Muhammad Hermawan Winanti, Ruri Wiwi Isnaeni Wiyanto - Wiyanto Wiyanto Wulan Christijanti Wulansari Prasetyaningtyas, Wulansari Yustinus Ulung Anggraito Yuyun Ika Christina Zaenafree, Intan