Analysis of Bacteria Resistance Using the Resonant Recognition Model

Irena Cosic; Drasko Cosic; Ivan Loncarevic

doi:10.30574/ijsra.2026.18.1.0050

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Analysis of Bacteria Resistance Using the Resonant Recognition Model

Irena Cosic ^{1, *}, Drasko Cosic ¹and Ivan Loncarevic ²

¹AMALNA Consulting, R&I Department, Black Rock, 3193, Australia.
²QuantBioRes A/S - QBR A/S, R&D Department, Copenhagen, 2860, Denmark.

Research Article

International Journal of Science and Research Archive, 2026, 18(01), 242-251

Article DOI: 10.30574/ijsra.2026.18.1.0050

DOI url: https://doi.org/10.30574/ijsra.2026.18.1.0050

Publication history

Received on 04 December 2025; revised on 09 January 2026; accepted on 12 January 2026

Abstract

Antibiotics have been used extensively to treat practically all known bacterial infections, but the great potential of antibiotics has been jeopardized by the emergence of antimicrobial resistance with some bacteria even becoming resistant to most antibiotics in use. Here, the Resonant Recognition Model (RRM), which is biophysical model capable of analyzing bimolecular interactions, has been utilized to find out the specificity of resistance within resistant bacteria. The definite biophysical characteristic that distinguishes between ordinary and resistant bacteria has been identified. This result is used here to propose approaches to neutralize and possibly eliminate problem of resistant bacteria.

Keywords

Resistant Bacteria; Resonant Recognition Model; Molecular Modelling

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How to cite this article

Liu Zhang. Taxpayer rights in tax administration procedures considering artificial intelligence. International Journal of Science and Research Archive, 2026, 18(01), 242-251; Article DOI: https://doi.org/10.30574/ijsra.2026.18.1.0050

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