Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

KOMBAT: Knowledgebase of Microbes’ Battling Agents for Therapeutics

Version 1 : Received: 1 October 2021 / Approved: 4 October 2021 / Online: 4 October 2021 (08:58:52 CEST)

How to cite: Bhargav, A.; Gupta, S.; Seth, S.; James, S.; Fatima, F.; Chaurasia, P.; Ramachandran, S. KOMBAT: Knowledgebase of Microbes’ Battling Agents for Therapeutics. Preprints 2021, 2021100033 (doi: 10.20944/preprints202110.0033.v1). Bhargav, A.; Gupta, S.; Seth, S.; James, S.; Fatima, F.; Chaurasia, P.; Ramachandran, S. KOMBAT: Knowledgebase of Microbes’ Battling Agents for Therapeutics. Preprints 2021, 2021100033 (doi: 10.20944/preprints202110.0033.v1).

Abstract

Antimicrobial resistance (AMR) is one of the top 10 threats affecting global health. AMR defeats the effective prevention and treatment of infections caused by microbial pathogens including bacteria, parasites, viruses and fungi (WHO). Microbial pathogens have natural tendency to evolve and mutate over time resulting in AMR strains. The set of genes involved in antibiotic resistance also termed as “antibiotic resistance genes” (ARGs) spread through species by lateral gene transfer thereby causing global dissemination. While this biological mechanism is prevalent in the spread of AMR, human methods also augment through various mechanisms such as over prescription, incomplete treatment, environmental waste etc. A considerable portion of scientific community is engrossed in AMR related work trying to discover novel therapeutic solutions for tackling resistant pathogens. Comprehensive inspection of the literature shows that diverse therapeutic strategies have evolved over recent years. Collectively, these therapeutic strategies include novel small molecules, newly identified antimicrobial peptides, bacteriophages, phytochemicals, nanocomposites, novel phototherapy against bacteria, fungi and virus. In this work we have developed a comprehensive knowledgebase by collecting alternative antimicrobial therapeutic strategies from literature data. We have used subjective approach for datamining new strategies resulting in broad coverage of entities and subsequently add objective data like entity name, potency, safety information etc. The extracted data was organized KOMBAT (Knowledgebase Of Microbes’ Battling Agents for Therapeutics). A lot of these data are tested against AMR pathogens. We envision that this database will be noteworthy for developing future therapeutics against resistant pathogens. The database can be accessed through http://kombat.igib.res.in/.

Supplementary and Associated Material

Keywords

Antibiotic resistance; text mining; therapy; database

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