Arif Nur Muhammad Ansori, Nelson Chandra, Teguh Hari Sucipto, Viol Dhea Kharisma, Hmad Affan Ali Murtadlo, Evgeniy Kolesnik, Maksim Rebezov, Arli Aditya Parikesit, Putu Angga Wiradana, I. Gede Widhiantara, Sukma Sahadewa, Fara Disa Durry, Vikash Jakhmola, Rahadian Zainul
Rabies remains a pervasive zoonotic disease in Indonesia, necessitating innovative strategies for vaccine development. This manuscript presents an in silico study focused on the construction of a novel plasmid-based DNA vaccine targeting the Indonesian rabies virus (RBV) glycoprotein, augmented with myeloid differentiation factor 88 (MyD88) as a genetic adjuvant. The glycoprotein of the RBV is a key immunogenic target due to its central role in viral entry and infection. MyD88, a crucial component of the innate immune system, has the potential to enhance the efficacy of vaccines through the activation of innate and adaptive immune responses. In this study, we employ computational biology techniques to elucidate the structural and functional interactions between the glycoprotein, MyD88, and host immune receptors, shedding light on the mechanisms by which MyD88 enhances vaccine-induced immunity. By leveraging in silico methods, this study contributed to the rational design of a plasmid-based DNA vaccine against rabies, with a particular focus on the Indonesian context. This approach has the potential to significantly reduce the incidence of rabies cases, enhance vaccine efficacy, and pave the way for future experimental validation and clinical trials. © 2024 by SPC (Sami Publishing Company).
Postgraduate School, Universitas Airlangga, Surabaya, Indonesia; Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India; European Virus Bioinformatics Center, Jena, Germany; Division of Research and Development, Jalan Tengah, Surabaya, Indonesia; The Indonesian Society for Bioinformatics and Biodiversity, Jakarta, Indonesia; School of Life Sciences, Indonesia International Institute for Life Sciences, Jakarta, Indonesia; Dengue Study Group, Institute of Tropical Disease, Universitas Airlangga, Surabaya, Indonesia; Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia; Russian State Agrarian University, Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation; Department of Scientific Research, V. M. Gorbatov Federal Research Center for Food Systems, Moscow, Russian Federation; Faculty of Biotechnology and Food Engineering, Ural State Agrarian University, Yekaterinburg, Russian Federation; Research Group of Biological Health, Study Program of Biology, Faculty of Health and Science, Universitas Dhyana Pura, Bali, Indonesia; Faculty of Medicine, Universitas Wijaya Kusuma Surabaya, Surabaya, Indonesia; Faculty of Medicine, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia; Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Padang, Indonesia; Center for Advanced Material Processing, Artificial Intelligence and Biophysics Informatics (CAMPBIOTICS), Universitas Negeri Padang, Padang, Indonesia
