Matches in SemOpenAlex for { <https://semopenalex.org/work/W2129736881> ?p ?o ?g. }
- W2129736881 endingPage "e1004064" @default.
- W2129736881 startingPage "e1004064" @default.
- W2129736881 abstract "Widely used chemical genetic screens have greatly facilitated the identification of many antiviral agents. However, the regions of interaction and inhibitory mechanisms of many therapeutic candidates have yet to be elucidated. Previous chemical screens identified Daclatasvir (BMS-790052) as a potent nonstructural protein 5A (NS5A) inhibitor for Hepatitis C virus (HCV) infection with an unclear inhibitory mechanism. Here we have developed a quantitative high-resolution genetic (qHRG) approach to systematically map the drug-protein interactions between Daclatasvir and NS5A and profile genetic barriers to Daclatasvir resistance. We implemented saturation mutagenesis in combination with next-generation sequencing technology to systematically quantify the effect of every possible amino acid substitution in the drug-targeted region (domain IA of NS5A) on replication fitness and sensitivity to Daclatasvir. This enabled determination of the residues governing drug-protein interactions. The relative fitness and drug sensitivity profiles also provide a comprehensive reference of the genetic barriers for all possible single amino acid changes during viral evolution, which we utilized to predict clinical outcomes using mathematical models. We envision that this high-resolution profiling methodology will be useful for next-generation drug development to select drugs with higher fitness costs to resistance, and also for informing the rational use of drugs based on viral variant spectra from patients." @default.
- W2129736881 created "2016-06-24" @default.
- W2129736881 creator A5000987778 @default.
- W2129736881 creator A5017960444 @default.
- W2129736881 creator A5020102799 @default.
- W2129736881 creator A5029398617 @default.
- W2129736881 creator A5035803088 @default.
- W2129736881 creator A5037737527 @default.
- W2129736881 creator A5045956360 @default.
- W2129736881 creator A5061259338 @default.
- W2129736881 creator A5062626495 @default.
- W2129736881 creator A5064571634 @default.
- W2129736881 creator A5067677610 @default.
- W2129736881 creator A5071851907 @default.
- W2129736881 creator A5083055133 @default.
- W2129736881 creator A5084817444 @default.
- W2129736881 creator A5086719941 @default.
- W2129736881 creator A5088160033 @default.
- W2129736881 creator A5089850941 @default.
- W2129736881 creator A5090746251 @default.
- W2129736881 date "2014-04-10" @default.
- W2129736881 modified "2023-10-14" @default.
- W2129736881 title "A Quantitative High-Resolution Genetic Profile Rapidly Identifies Sequence Determinants of Hepatitis C Viral Fitness and Drug Sensitivity" @default.
- W2129736881 cites W1482367278 @default.
- W2129736881 cites W1913862483 @default.
- W2129736881 cites W1972359004 @default.
- W2129736881 cites W1974750479 @default.
- W2129736881 cites W1981385281 @default.
- W2129736881 cites W1984247615 @default.
- W2129736881 cites W1985055250 @default.
- W2129736881 cites W1988656403 @default.
- W2129736881 cites W1993681618 @default.
- W2129736881 cites W1995591620 @default.
- W2129736881 cites W1997385930 @default.
- W2129736881 cites W1997828001 @default.
- W2129736881 cites W1998717812 @default.
- W2129736881 cites W1999256547 @default.
- W2129736881 cites W2002539563 @default.
- W2129736881 cites W2003579943 @default.
- W2129736881 cites W2012515231 @default.
- W2129736881 cites W2012808888 @default.
- W2129736881 cites W2015254212 @default.
- W2129736881 cites W2021090345 @default.
- W2129736881 cites W2024763248 @default.
- W2129736881 cites W2027402602 @default.
- W2129736881 cites W2029272473 @default.
- W2129736881 cites W2029323175 @default.
- W2129736881 cites W2043519223 @default.
- W2129736881 cites W2044193462 @default.
- W2129736881 cites W2048398192 @default.
- W2129736881 cites W2052120841 @default.
- W2129736881 cites W2059530064 @default.
- W2129736881 cites W2061146727 @default.
- W2129736881 cites W2066172848 @default.
- W2129736881 cites W2070300344 @default.
- W2129736881 cites W2070587341 @default.
- W2129736881 cites W2076768958 @default.
- W2129736881 cites W2078887917 @default.
- W2129736881 cites W2089962959 @default.
- W2129736881 cites W2096604412 @default.
- W2129736881 cites W2106378149 @default.
- W2129736881 cites W2113864802 @default.
- W2129736881 cites W2115466322 @default.
- W2129736881 cites W2124151787 @default.
- W2129736881 cites W2125963799 @default.
- W2129736881 cites W2134472003 @default.
- W2129736881 cites W2137513268 @default.
- W2129736881 cites W2138269544 @default.
- W2129736881 cites W2143559032 @default.
- W2129736881 cites W2147126871 @default.
- W2129736881 cites W2151581088 @default.
- W2129736881 cites W2151887741 @default.
- W2129736881 cites W2151898297 @default.
- W2129736881 cites W2152287937 @default.
- W2129736881 cites W2154658415 @default.
- W2129736881 cites W2156982 @default.
- W2129736881 cites W2159519076 @default.
- W2129736881 cites W2162240080 @default.
- W2129736881 cites W2164211111 @default.
- W2129736881 cites W2165775347 @default.
- W2129736881 cites W2166962970 @default.
- W2129736881 cites W2167049708 @default.
- W2129736881 doi "https://doi.org/10.1371/journal.ppat.1004064" @default.
- W2129736881 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3983061" @default.
- W2129736881 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24722365" @default.
- W2129736881 hasPublicationYear "2014" @default.
- W2129736881 type Work @default.
- W2129736881 sameAs 2129736881 @default.
- W2129736881 citedByCount "65" @default.
- W2129736881 countsByYear W21297368812014 @default.
- W2129736881 countsByYear W21297368812015 @default.
- W2129736881 countsByYear W21297368812016 @default.
- W2129736881 countsByYear W21297368812017 @default.
- W2129736881 countsByYear W21297368812018 @default.
- W2129736881 countsByYear W21297368812019 @default.
- W2129736881 countsByYear W21297368812020 @default.
- W2129736881 countsByYear W21297368812021 @default.
- W2129736881 countsByYear W21297368812022 @default.