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MDPI, Molecules, 9(25), p. 2265, 2020

DOI: 10.3390/molecules25092265

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Predicting Drug Resistance Using Deep Mutational Scanning

Journal article published in 2020 by Gur Pines ORCID, Reilly G. Fankhauser ORCID, Carrie A. Eckert
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Drug resistance is a major healthcare challenge, resulting in a continuous need to develop new inhibitors. The development of these inhibitors requires an understanding of the mechanisms of resistance for a critical mass of occurrences. Recent genome editing technologies based on high-throughput DNA synthesis and sequencing may help to predict mutations resulting in resistance by testing large mutagenesis libraries. Here we describe the rationale of this approach, with examples and relevance to drug development and resistance in malaria.