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Om Rangacharya, Avanti Parab, Shrikant Adkine & Rahul Nagargoje. (2023) A study on the design of an in silico self-amplifying mRNA vaccine against Nipah virus using immunoinformatics. Journal of Biomolecular Structure and Dynamics 41:22, pages 12777-12788.
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Veeranarayanan Surya Aathmanathan, Velusamy Arumugam & Muthukalingan Krishnan. (2022) Computational approach to explore the inhibitory potential of biologically derived compounds against Spodoptera litura vitellogenin receptor (VgR) using structure based virtual screening and molecular dynamics. Journal of Biomolecular Structure and Dynamics 40:11, pages 4954-4960.
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Prativa Majee, Neha Jain & Amit Kumar. (2021) Designing of a multi-epitope vaccine candidate against Nipah virus by in silico approach: a putative prophylactic solution for the deadly virus. Journal of Biomolecular Structure and Dynamics 39:4, pages 1461-1480.
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Nidhi Gupta, Nazia Khatoon, Amit Mishra, Vijay Kumar Verma & Vijay Kumar Prajapati. (2020) Structural vaccinology approach to investigate the virulent and secretory proteins of Bacillus anthracis for devising anthrax next-generation vaccine. Journal of Biomolecular Structure and Dynamics 38:16, pages 4895-4905.
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Aziz Ul-Rahman & Muhammad Abu Bakr Shabbir. (2020)
In silico analysis for development of epitopes-based peptide vaccine against Alkhurma hemorrhagic fever virus. Journal of Biomolecular Structure and Dynamics 38:10, pages 3110-3122.
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Manojit Bhattacharya, Ramesh Chandra Malick, Niladri Mondal, Prasanta Patra, Bibhuti Bhusan Pal, Bidhan Chandra Patra & Basanta Kumar Das. (2020) Computational characterization of epitopic region within the outer membrane protein candidate in Flavobacterium columnare for vaccine development. Journal of Biomolecular Structure and Dynamics 38:2, pages 450-459.
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Manu Kupani, Rajeev Kumar Pandey, Sharad Vashisht, Satyendra Singh, Vijay Kumar Prajapati & Sanjana Mehrotra. (2023) Prediction of an immunogenic peptide ensemble and multi-subunit vaccine for Visceral leishmaniasis using bioinformatics approaches. Heliyon 9:12, pages e22121.
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Maritsa Margaroni, Maria Agallou, Evgenia Tsanaktsidou, Olga Kammona, Costas Kiparissides & Evdokia Karagouni. (2023) Immunoinformatics Approach to Design a Multi-Epitope Nanovaccine against Leishmania Parasite: Elicitation of Cellular Immune Responses. Vaccines 11:2, pages 304.
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Kirti Srivastava & Vivek Srivastava. (2023) Prediction of Conformational and Linear B-Cell Epitopes on Envelop Protein of Zika Virus Using Immunoinformatics Approach. International Journal of Peptide Research and Therapeutics 29:1.
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Boobalan Gopu, Parampreet Kour, Ramajayan Pandian & Kuljit Singh. (2023) Insights into the drug screening approaches in leishmaniasis. International Immunopharmacology 114, pages 109591.
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Muhammad Naveed, Syeda Izma Makhdoom, Urooj Ali, Khizra Jabeen, Tariq Aziz, Ayaz Ali Khan, Sumbal Jamil, Muhammad Shahzad, Metab Alharbi & Abdulrahman Alshammari. (2022) Immunoinformatics Approach to Design Multi-Epitope-Based Vaccine against Machupo Virus Taking Viral Nucleocapsid as a Potential Candidate. Vaccines 10:10, pages 1732.
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Ammar Usman Danazumi, Salahuddin Iliyasu Gital, Salisu Idris, Lamin BS Dibba, Emmanuel Oluwadare Balogun & Maria Wiktoria Górna. (2022) Immunoinformatic design of a putative multi-epitope vaccine candidate against Trypanosoma brucei gambiense. Computational and Structural Biotechnology Journal 20, pages 5574-5585.
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Alireza Lari, Niloofar Lari & Atefeh Biabangard. (2021) Immunoinformatics Approach to Design a Novel Subunit Vaccine Against Visceral Leishmaniasis. International Journal of Peptide Research and Therapeutics 28:1.
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Shubhranshu Zutshi, Sunil Kumar, Prashant Chauhan & Bhaskar Saha. 2022. Vaccine Design. Vaccine Design
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Hafiz Muzzammel Rehman, Muhammad Usman Mirza, Mian Azhar Ahmad, Mahjabeen Saleem, Matheus Froeyen, Sarfraz Ahmad, Roquyya Gul, Huda Ahmed Alghamdi, Muhammad Shahbaz Aslam, Muhammad Sajjad & Munir Ahmad Bhinder. (2020) A Putative Prophylactic Solution for COVID-19: Development of Novel Multiepitope Vaccine Candidate against SARS-COV-2 by Comprehensive Immunoinformatic and Molecular Modelling Approach. Biology 9:9, pages 296.
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Mahsa Rabienia, Zahra Roudbari, Ali Ghanbariasad, Abbas Abdollahi, Elyas Mohammadi, Nahid Mortazavidehkordi & Akbar Farjadfar. (2020) Exploring membrane proteins of Leishmania major to design a new multi-epitope vaccine using immunoinformatics approach. European Journal of Pharmaceutical Sciences 152, pages 105423.
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Daniela P. Lage, Patrícia A. F. Ribeiro, Daniel S. Dias, Débora V. C. Mendonça, Fernanda F. Ramos, Lívia M. Carvalho, Daysiane de Oliveira, Bethina T. Steiner, Vívian T. Martins, Luísa Perin, Amanda S. Machado, Thaís T. O. Santos, Grasiele S. V. Tavares, João A. Oliveira-da-Silva, Jamil S. Oliveira, Bruno M. Roatt, Ricardo A. Machado-de-Ávila, Antônio L. Teixeira, Maria V. Humbert, Eduardo A. F. Coelho & Myron Christodoulides. (2020) A candidate vaccine for human visceral leishmaniasis based on a specific T cell epitope-containing chimeric protein protects mice against Leishmania infantum infection. npj Vaccines 5:1.
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Rajan Kumar Pandey, Rupal Ojha, Kumari Dipti, Rajiv Kumar & Vijay Kumar Prajapati. (2020) Immunoselective algorithm to devise multi-epitope subunit vaccine fighting against human cytomegalovirus infection. Infection, Genetics and Evolution 82, pages 104282.
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Garima Singh, Manisha Pritam, Monisha Banerjee, Akhilesh Kumar Singh & Satarudra Prakash Singh. (2020) Designing of precise vaccine construct against visceral leishmaniasis through predicted epitope ensemble: A contemporary approach. Computational Biology and Chemistry 86, pages 107259.
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Pejman Hashemzadeh, Arian Karimi Rouzbahani, Mojgan Bandehpour, Farnaz Kheirandish, Hassan Dariushnejad & Mohsen Mohamadi. (2020) Designing a recombinant multiepitope vaccine against Leishmania donovani based immunoinformatics approaches. Minerva Biotecnologica 32:2.
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Rupal Ojha, Aditi Pareek, Rajan K. Pandey, Dhaneswar Prusty & Vijay K. Prajapati. (2019) Strategic Development of a Next-Generation Multi-Epitope Vaccine To Prevent Nipah Virus Zoonotic Infection. ACS Omega 4:8, pages 13069-13079.
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