Chemoinfectomics (chemical infectomics) is the study of small exogenous molecules that are highly specified
to define molecular targets (e.g., genes, proteins, glycans, and lipids) or infectomic signatures, to enable functional analysis
of microbes and their hosts, and to uncover new antimicrobial drug leads. It requires multidisciplinary expertise in
chemical omics (chemogenomics, chemoproteomics, chemoglycomics and chemolipidomics), infectious diseases, and
computational sciences (bioinformatics, cheminformatics, large scale statistics and machine learning methods). Chemoinfectomics
will overcome the major limitation of the conventional paradigm of managing infectious diseases, which has
mainly targeted on microorganisms with low selectivity. The development of drug resistance to both pathogenic and nonpathogenic
microbes has been one of the most serious disadvantages of the traditional microbe-directed drug targeting
strategies. Therefore, a new chemoinfectomics-based drug discovery paradigm has emerged, focusing on identifying and
targeting host factors essential for microbial interactions and pathogenesis. Innovative strategies combining chemoinfectomics,
computational biology, and conventional targeting of microbial virulence factors have the potential to greatly
augment the protective host factors and to specifically and efficiently eliminate the invading pathogen.
Keywords: Activity-based profiling (ABP), chemogenomics, chemoglycomics, chemoinfectiomics, chemolipidomics, chemoproteomics,
infectomes, miroarrays, multidrug resistance (MDR).
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