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Antifungals: From Genomics to Resistance and the Development of Novel Agents, p. 183-210

DOI: 10.21775/9781910190012.09

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Strategies for the Identification of the Mode-of-action of Antifungal Drug Candidates

Journal article published in 2015 by Sadri Znaidi ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Preprint: policy unknown
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Postprint: policy unknown
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Published version: policy unknown

Abstract

The characterization of the mode-of-action of antifungal drug candidates - also termed target deconvolution - is an integral part in the pharmaceutical drug discovery pipeline. The classical methods that were used during decades for deciphering antifungal drug mode-of-action relied specifically on classical microscopy, basic biochemical and biophysical approaches and classical forward genetics. With the era of functional genomics and high-throughput experimentation technologies, the implementation of large-scale target deconvolution strategies has drastically reshaped the field of drug discovery. In particular, the individual or combined use of chemogenomics, high-throughput drug-target interaction assays, transcriptomics and high-throughput imaging, together with powerful computer-based approaches for the integrative and predictive analyses from multiple data, offer a completely new vision on the potential and perspectives of exploring drug-target interactions in drug discovery and chemical biology. In this chapter, an overview of the classical approaches in antifungal drug mode-of-action studies is presented as a historical perspective, followed by description of the modern, currently used or likely to be more developed, approaches for conducting large-scale antifungal drug candidate target deconvolution studies.