Ortmayr, Karin and de la Cruz Moreno, Roberto and Zampieri, Mattia. (2022) Expanding the search for small-molecule antibacterials by multidimensional profiling. Nature Chemical Biology, 18 (6). pp. 584-595.
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Abstract
New techniques for systematic profiling of small-molecule effects can enhance traditional growth inhibition screens for antibiotic discovery and change how we search for new antibacterial agents. Computational models that integrate physicochemical compound properties with their phenotypic and molecular downstream effects can not only predict efficacy of molecules yet to be tested, but also reveal unprecedented insights on compound modes of action (MoAs). The unbiased characterization of compounds that themselves are not growth inhibitory but exhibit diverse MoAs, can expand antibacterial strategies beyond direct inhibition of core essential functions. Early and systematic functional annotation of compound libraries thus paves the way to new models in the selection of lead antimicrobial compounds. In this Review, we discuss how multidimensional small-molecule profiling and the ever-increasing computing power are accelerating the discovery of unconventional antibacterials capable of bypassing resistance and exploiting synergies with established antibacterial treatments and with protective host mechanisms.
Faculties and Departments: | 03 Faculty of Medicine > Departement Biomedizin > Division of Biochemistry and Genetics > Biochemistry (Zampieri) |
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UniBasel Contributors: | Zampieri, Mattia |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Nature Research |
ISSN: | 1552-4450 |
e-ISSN: | 1552-4469 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Language: | English |
Identification Number: |
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edoc DOI: | |
Last Modified: | 19 Sep 2023 07:28 |
Deposited On: | 19 Sep 2023 07:28 |
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