Rahman, M.S.;                     Biswas, C.;                     Biswas, P.K.;                     Kader, M.A.;                     Alam, S.M.N.;                     Sonne, C.;                     Kim, K.-H.    
        In Silico Analysis of the Antigenic Properties of Iron-Regulated Proteins against Neisseria meningitidis. Appl. Sci. 2020, 10, 6113.
    https://doi.org/10.3390/app10176113
    AMA Style
    
                                Rahman MS,                                 Biswas C,                                 Biswas PK,                                 Kader MA,                                 Alam SMN,                                 Sonne C,                                 Kim K-H.        
                In Silico Analysis of the Antigenic Properties of Iron-Regulated Proteins against Neisseria meningitidis. Applied Sciences. 2020; 10(17):6113.
        https://doi.org/10.3390/app10176113
    
    Chicago/Turabian Style
    
                                Rahman, Md. Shahedur,                                 Chayon Biswas,                                 Polash Kumar Biswas,                                 Md. Ashraful Kader,                                 S. M. Nur Alam,                                 Christian Sonne,                                 and Ki-Hyun Kim.        
                2020. "In Silico Analysis of the Antigenic Properties of Iron-Regulated Proteins against Neisseria meningitidis" Applied Sciences 10, no. 17: 6113.
        https://doi.org/10.3390/app10176113
    
    APA Style
    
                                Rahman, M. S.,                                 Biswas, C.,                                 Biswas, P. K.,                                 Kader, M. A.,                                 Alam, S. M. N.,                                 Sonne, C.,                                 & Kim, K.-H.        
        
        (2020). In Silico Analysis of the Antigenic Properties of Iron-Regulated Proteins against Neisseria meningitidis. Applied Sciences, 10(17), 6113.
        https://doi.org/10.3390/app10176113