In Silico Prediction and Prioritization of Novel Selective Antimicrobial Drug Targets in Escherichia coli.

ABSTRACT: Novel antimicrobials interfering with pathogen-specific targets can minimize the risk of perturbations of the gut microbiota (dysbiosis) during therapy. We employed an in silico approach to identify essential proteins in Escherichia coli that are either absent or have low sequence identity in seven beneficial taxa of the gut microbiota: Faecalibacterium, Prevotella, Ruminococcus, Bacteroides, Lactobacillus, Lachnospiraceae and Bifidobacterium. We identified 36 essential proteins that are present in hyper-virulent E. coli ST131 and have low similarity (bitscore < 50 or identity < 30% and alignment length < 25%) to proteins in mammalian hosts and beneficial taxa. Of these, 35 are also present in Klebsiella pneumoniae.

SUBMITTER: Svanberg Frisinger F 

PROVIDER: S-EPMC8229198 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature