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.

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