Predicting drug resistance using deep mutational scanning

Gur Pines; Reilly G. Fankhauser; Carrie A. Eckert

doi:10.3390/molecules25092265

Predicting drug resistance using deep mutational scanning

Gur Pines, Reilly G. Fankhauser, Carrie A. Eckert

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7 Scopus citations

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.

Original language	English
Article number	2265
Journal	Molecules
Volume	25
Issue number	9
DOIs	https://doi.org/10.3390/molecules25092265
State	Published - May 1 2020
Externally published	Yes

Funding

Funding: This research was funded by the National Institute of Allergy and Infectious Diseases (NIAID) at the NIH, grant number 1R21AI128296-01A1.

Keywords

DXR
Drug resistance
Fosmidomycin
Genome editing
Sequence to activity mapping

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10.3390/molecules25092265

Cite this

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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.",

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KW - Genome editing

KW - Sequence to activity mapping

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Predicting drug resistance using deep mutational scanning

Abstract

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Keywords

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