Published in
Elsevier, Journal of Microbiological Methods, (111), p. 9-18, 2015
DOI: 10.1016/j.mimet.2015.01.011
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Proteome mining for drug target identification in Listeria monocytogenes strain EGD-e and structure-based virtual screening of a candidate drug target penicillin binding protein 4
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Abstract
We used a combination of in-silico approaches to identify 168 promising drug targets in the proteome of a multidrug-resistant Listeria monocytogenes strain; of these, one (PBP4) was particularly promising. Virtual screening using it, followed by reverse docking, revealed four compounds namely NCI524121, CAP332797, NCI524136 and ZINC00518462 as good multi-target leads.