Indira Prakoso, Alfero Putra Iryanto, Tiara Rahayu, Anzillina Rahma, Muhammad Nur Aziz Ar Rizqi, Viol Dhea Kharisma, Arif Nur Muhammad Ansori, Maksim Rebezov, Pavel Burkov, Marina Derkho, Belyakova Natalia, Rybakova Anna, Vikash Jakhmola, Rahadian Zainul
Klebsiella pneumoniae is a gram-negative of bacteria that are known to cause a variety of nosocomial respiratory tract infections including pneumonia. K. pneumoniae is also included in the ESKAPE bacteria group which has high resistance to antibiotics. Therefore, alternative treatment for K. pneumoniae infection is needed, one of which is by developing a vaccine. The aim of this study was to design a vaccine against K. pneumoniae by targeting the outer membrane protein using immunoinformatics approaches. 1,708 protein of K. pneumoniae was then screened using signalP, pred-TMBB2, and Blastp to select outer membrane proteins. The selected protein, PA1_KLEPN and BAMA_KLEP7 were then predicted using T-and B-cell Epitope Prediction on IEDB to obtain epitope regions. Vaccine design of K. pneumoniae consists of 1 BCL epitope, 2 CTL epitopes, 1 HTL epitope, an adjuvant and PADRE sequences constructed with linkers using Benchling. This vaccine construction is predicted to be non-toxic/allergenic and have a strong binding affinity with human TLR-4 with the HADDOCK score of-93.2kcal/mol, RMSD 0.5 and Z-score-2.5. According to the computer-aided studies conducted for this study, the chosen epitopes may provide excellent vaccine candidates to stop K. pneumoniae infections in people. However, in order to further confirm the efficacy of this suggested vaccine candidate, in vitro and in vivo validation is required. © RJPT. All right reserved.
Department of Food Science and Biotechnology, Brawijaya University, Malang, Indonesia; Department of Biotechnology, Esa Unggul University, Jakarta Barat, Indonesia; Faculty of Military Mathematics and Natural Sciences, The Republic of Indonesia Defense University, Bogor, Indonesia; Department of Electrical Engineering, University of Indonesia, Depok, Indonesia; Department of Biology, Diponegoro University, Semarang, Indonesia; Department of Biology, Faculty of Science and Technology, Universitas Airlangga, Surabaya, Indonesia; Division of Molecular Biology and Genetics, Generasi Biologi Indonesia Foundation, Gresik, Indonesia; Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya, Indonesia; Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India; 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; Department of Scientific Research, Russian State Agrarian University – Moscow Timiryazev Agricultural Academy, Moscow, Russian Federation; Institute of Veterinary Medicine, South Ural State Agrarian University, Troitsk, Russian Federation; Moscow University of Technology and Management named after K.G. Razumovsky, Moscow, Russian Federation; Moscow Institute of Physics and Technology, Moscow, Russian Federation; Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Negeri Padang, Padang, Indonesia; Center for Advanced Material Processing, Artificial Intelligence, and Biophysic Informatics (CAMP-BIOTICS), Universitas Negeri Padang, Padang, Indonesia
