International Journal of Molecular Sciences Article Antibiotic Resistance Determinant-Focused Acinetobacter baumannii Vaccine Designed Using Reverse Vaccinology Zhaohui Ni 1,2,†, Yan Chen 3,†, Edison Ong 2,4 and Yongqun He 2,5,* 1 Department of Pathogenobiology, College of Basic Medical Science, Jilin University, Changchun 130021, China;
[email protected] 2 Unit for Laboratory Animal Medicine, Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA;
[email protected] 3 Department of Neurosurgery, The Second Hospital of Jilin University, Changchun 130041, China;
[email protected] 4 Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA 5 Center of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA * Correspondence:
[email protected]; Tel.: +1-734-615-8231 † These authors contributed equally to this work. Academic Editor: Christopher Woelk Received: 27 December 2016; Accepted: 10 February 2017; Published: 21 February 2017 Abstract: As one of the most influential and troublesome human pathogens, Acinetobacter baumannii (A. baumannii) has emerged with many multidrug-resistant strains. After collecting 33 complete A. baumannii genomes and 84 representative antibiotic resistance determinants, we used the Vaxign reverse vaccinology approach to predict classical type vaccine candidates against A. baumannii infections and new type vaccine candidates against antibiotic resistance. Our genome analysis identified 35 outer membrane or extracellular adhesins that are conserved among all 33 genomes, have no human protein homology, and have less than 2 transmembrane helices. These 35 antigens include 11 TonB dependent receptors, 8 porins, 7 efflux pump proteins, and 2 fimbrial proteins (FilF and CAM87009.1).