Predicting Drug Resistance Using Deep Mutational Scanning
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
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| Series: | Molecules |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1420-3049/25/9/2265 |
| _version_ | 1827717040820977664 |
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| author | Gur Pines Reilly G. Fankhauser Carrie A. Eckert |
| author_facet | Gur Pines Reilly G. Fankhauser Carrie A. Eckert |
| author_sort | Gur Pines |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T19:54:10Z |
| format | Article |
| id | doaj.art-0ebe8c9a4b054fc598a8802d49c84548 |
| institution | Directory Open Access Journal |
| issn | 1420-3049 |
| language | English |
| last_indexed | 2024-03-10T19:54:10Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Molecules |
| spelling | doaj.art-0ebe8c9a4b054fc598a8802d49c845482023-11-20T00:06:00ZengMDPI AGMolecules1420-30492020-05-01259226510.3390/molecules25092265Predicting Drug Resistance Using Deep Mutational ScanningGur Pines0Reilly G. Fankhauser1Carrie A. Eckert2Department of Entomology, Agricultural Research Organization, Volcani Center, P.O.B 15159, Rishon LeZion 7505101, IsraelDepartment of Dermatology, Oregon Health & Science University, Baird Hall 3225 SW Pavilion Loop, Portland, OR 97239, USARenewable and Sustainable Energy Institute, University of Colorado Boulder, 027 UCB, Boulder, CO 80309, USADrug 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.https://www.mdpi.com/1420-3049/25/9/2265sequence to activity mappinggenome editingfosmidomycinDXRdrug resistance |
| spellingShingle | Gur Pines Reilly G. Fankhauser Carrie A. Eckert Predicting Drug Resistance Using Deep Mutational Scanning Molecules sequence to activity mapping genome editing fosmidomycin DXR drug resistance |
| title | Predicting Drug Resistance Using Deep Mutational Scanning |
| title_full | Predicting Drug Resistance Using Deep Mutational Scanning |
| title_fullStr | Predicting Drug Resistance Using Deep Mutational Scanning |
| title_full_unstemmed | Predicting Drug Resistance Using Deep Mutational Scanning |
| title_short | Predicting Drug Resistance Using Deep Mutational Scanning |
| title_sort | predicting drug resistance using deep mutational scanning |
| topic | sequence to activity mapping genome editing fosmidomycin DXR drug resistance |
| url | https://www.mdpi.com/1420-3049/25/9/2265 |
| work_keys_str_mv | AT gurpines predictingdrugresistanceusingdeepmutationalscanning AT reillygfankhauser predictingdrugresistanceusingdeepmutationalscanning AT carrieaeckert predictingdrugresistanceusingdeepmutationalscanning |