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Such resistance is more common in <jats:italic>Pseudomonas aeruginosa, Acinetobacter baumannii<\/jats:italic>, and <jats:italic>Klebsiella pneumoniae<\/jats:italic> strains because of the expression of the metallo\u2010\u03b2\u2010lactamases (MBLs) namely Imipenemase (IMP)\u20101, IMP\u20102, New Delhi metallo\u2010\u03b2\u2010lactamases\u2010, Verona imipenemase (VIM)\u20104, VIM\u20105, and VIM\u20107. We did an in silico analysis to understand the resistance mechanism of imipenem at the structural level. Our modeling studies reveal that the VIM\u20104\u2010imipenem complex has highest binding energy and forms a stable complex as indicated by a consensus score (C\u2010score) value of 5.44. The intense interaction between the substrate and the \u03b2\u2010lactamases leads to the increased hydrolysis of the substrate resulting in rapid hydrolysis of the antibiotic imipenem by VIM\u20104. Virtual screening of compounds from the ZINC database targeting VIM\u20104 was done, and we found compound ZINC44608383 as the high binding energy compound with the C\u2010score value of 5.58. This compound could be exploited for inhibitor design and development. The current study helps us to understand the resistance mechanism of imipenem in MBL\u2010expressing strains. Also, we have identified a probable inhibitor for VIM\u20104. We believe that our results will be useful for researchers in designing potent inhibitors for VIM\u20104.<\/jats:p>","DOI":"10.1002\/jcb.27414","type":"journal-article","created":{"date-parts":[[2018,8,20]],"date-time":"2018-08-20T13:41:03Z","timestamp":1534772463000},"page":"584-591","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Mechanism of imipenem resistance in metallo\u2010\u03b2\u2010lactamases expressing pathogenic bacterial spp. and identification of potential inhibitors: An in silico approach"],"prefix":"10.1002","volume":"120","author":[{"given":"Kullappan","family":"Malathi","sequence":"first","affiliation":[{"name":"Medical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology Vellore Tamil Nadu 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