![Open Access](https://medicaljournals.stmjournals.in/lib/pkp/templates/images/icons/fulltext_open_medium.gif)
![Restricted Access](https://medicaljournals.stmjournals.in/lib/pkp/templates/images/icons/fulltext_restricted_medium.gif)
An innovative antibiotic "Abaucin": Instigated by Artificial Intelligence
Abstract
Nosocomial Gram-negative pathogen, Acinetobacter baumannii repeatedly demonstrates multidrug resistance. Discovering novel antibiotics against A. baumannii has proven thought-provoking through conventional screening tactics. Providentially, machine learning approaches allow for the speedy exploration of chemical space, snowballing the probability of determining new antibacterial molecules. In the following research era, a neural network is accomplished with growth reserve dataset and accomplished in silico predictions for structurally unconventional molecules with commotion in divergence to A. baumannii. Through this method, Abaucin was exposed in the medicinal field, an antibacterial complex with narrow-spectrum activity against A. baumannii. Recent surveys and studies indicate that Abaucin disrupts the transportation of lipoproteins via a mechanism or pathway involving LolE. The machine learning (ML) has facilitated discovery of this new antibiotic in the field of medicine and pharmacology. This describes a hopeful lead with battered activity against a challenging Gram-negative microorganism. There is an insistent need for innovate as well as effective antibacterial drugs owing to the inevitable growth of resistance that tracks the outline of ground breaking antimicrobial to the entire medicinal and pharmac field. Abaucin will lead to dynamic resolution worldwide. The antibiotic resistance is now highly noticeable public health issue specially after pandemic COVID-19. During COVID-19 the use of anti-microbials has suddenly increased. Present review is a multidisciplinary approach which spot light the development of newer antibiotic-Abaucin with the help of artificial intelligence (AI). Medicine is the perfect combination of morden engineering and pharmacology. This article also explores the use of artificial intelligence to evaluate the development of new antibiotic, providing an in-depth look at the potential of these technologies to revolutionize healthcare.
Keywords
References
Liu G, Catacutan DB, Rathod K, Swanson K, Jin W, Mohammed JC, et al."Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii". Nature Chemical Biology. May 2023. doi:10.1038/s41589-023-01349-8. PMID 37231267. S2CID 258909341.
Antunes, L. C. S., Visca, P. & Towner, K. J. Acinetobacter baumannii: evolution of a global pathogen. Pathog. Dis. 2014;71:292–301.
Monika K., Poonacha KS, Kritika D, Rameshwari R., Shamsudin K. Use or misue of Antibiotics in Pediatric Dentistry!! Open access journal of dental sciences. 2019;4(2).
2020 Antibacterial Agents in Clinical and Preclinical Development: An Overview and Analysis (WorldHealthOrganization,2021); https://www.who.int/publications/i/item/9789240021303
Afroza A., Shivali A., Vishakha G., Monika K., Apexa Y., Shamsudin K. Worldwide Threatening Sign-Antibiotic resistance its Prevention and Control, Research & Reviews. A journal of microbiology & virology. 2023;13(2):34-38.
Stokes, J. M. et al. A deep learning approach to antibiotic discovery. Cell 2020;180: 688–702.
Lluka, T. & Stokes, J. M. Antibiotic discovery in the artificial intelligence era. Ann. N. Y. Acad. Sci. 2023;1519:74–93.
Walsh, C. Where will new antibiotics come from? Nat. Rev. Microbiol. 2003;1:65–70.
AI-Driven Discovery of Abaucin: A Powerful Antibiotic. https://www.drishtiias.com/printpdf/al-driven-discovery-of-abaucin-powerful-antibiotic
"Scientists use AI to find promising new antibiotic to fight evasive hospital superbug". McMaster University. 25 May 2023.
Ma, Y. et al. Identification of antimicrobial peptides from the human gut microbiome using deep learning. Nat. Biotechnol. 2022;40:921–31.
Corsello, S. M. et al. The Drug Repurposing Hub: a next-generation drug library and information resource. Nat. Med. 2017;23:405–408.
Tommasi, R., Brown, D. G., Walkup, G. K., Manchester, J. I. & Miller, A. A. ESKAPEing the labyrinth of antibacterial discovery. Nat. Rev. Drug Discov. 2015;14: 529–542.
Melander, R. J., Zurawski, D. V. & Melander, C. Narrow-spectrum antibacterial agents. MedChemComm 2018;9:12–21.
Lluka, T. & Stokes, J. M. Antibiotic discovery in the artificial intelligence era. Ann. N. Y. Acad. Sci. 2023;1519:74–93.
DOI: https://doi.org/10.37591/rrjomv.v13i3.3430
Refbacks
- There are currently no refbacks.