Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897631919> ?p ?o ?g. }
- W2897631919 endingPage "1160" @default.
- W2897631919 startingPage "1153" @default.
- W2897631919 abstract "Introduction: Both in vitro biochemical and phenotypic assay platforms have clear limitations in high throughput screening (HTS) for drug discovery. The use of genetically tractable model yeast as a vehicle for target-based HTS overcomes many of these by allowing the identification of on-target compounds that function within a eukaryotic cellular context.Areas covered: In this special report, the use of yeast-based assays in HTS is discussed with reference to the various platforms that have been utilized over the past 20 years. The specific issues considered are the necessity to employ counter and secondary screening approaches to ensure the on-target activity of hits, and the recent developments in detection systems that have facilitated miniaturization and ultra-HTS.Expert opinion: It is difficult at present to predict the future. That being said, the demonstrable possibilities of optimizing yeast-based HTS, coupled with the demonstration of utility in an industrial setting, shows that these platforms have the potential to bridge the gap between phenotypic and biochemical assays for HTS." @default.
- W2897631919 created "2018-10-26" @default.
- W2897631919 creator A5047431371 @default.
- W2897631919 date "2018-10-16" @default.
- W2897631919 modified "2023-09-24" @default.
- W2897631919 title "Yeast: bridging the gap between phenotypic and biochemical assays for high-throughput screening" @default.
- W2897631919 cites W175582494 @default.
- W2897631919 cites W184799386 @default.
- W2897631919 cites W1969857670 @default.
- W2897631919 cites W1970836340 @default.
- W2897631919 cites W1970987000 @default.
- W2897631919 cites W1984826792 @default.
- W2897631919 cites W1986718926 @default.
- W2897631919 cites W1992001904 @default.
- W2897631919 cites W1992648778 @default.
- W2897631919 cites W1997687444 @default.
- W2897631919 cites W1997793099 @default.
- W2897631919 cites W1999828923 @default.
- W2897631919 cites W2003288227 @default.
- W2897631919 cites W2006214422 @default.
- W2897631919 cites W2009904849 @default.
- W2897631919 cites W2010192535 @default.
- W2897631919 cites W2025999226 @default.
- W2897631919 cites W2029005444 @default.
- W2897631919 cites W2042617692 @default.
- W2897631919 cites W2046413244 @default.
- W2897631919 cites W2060741283 @default.
- W2897631919 cites W2061089822 @default.
- W2897631919 cites W2066765318 @default.
- W2897631919 cites W2074911742 @default.
- W2897631919 cites W2079829929 @default.
- W2897631919 cites W2083546550 @default.
- W2897631919 cites W2085142868 @default.
- W2897631919 cites W2098104802 @default.
- W2897631919 cites W2099664666 @default.
- W2897631919 cites W2102635586 @default.
- W2897631919 cites W2104479866 @default.
- W2897631919 cites W2114086684 @default.
- W2897631919 cites W2116967610 @default.
- W2897631919 cites W2117066838 @default.
- W2897631919 cites W2118462346 @default.
- W2897631919 cites W2123897544 @default.
- W2897631919 cites W2124310298 @default.
- W2897631919 cites W2160604305 @default.
- W2897631919 cites W2161409874 @default.
- W2897631919 cites W2167063739 @default.
- W2897631919 cites W2256772482 @default.
- W2897631919 cites W2321696268 @default.
- W2897631919 cites W2331150521 @default.
- W2897631919 cites W2408771785 @default.
- W2897631919 cites W2548448616 @default.
- W2897631919 cites W2620694916 @default.
- W2897631919 cites W2694890935 @default.
- W2897631919 cites W2751744129 @default.
- W2897631919 cites W2755239745 @default.
- W2897631919 cites W2765960641 @default.
- W2897631919 cites W2782976400 @default.
- W2897631919 cites W2789811406 @default.
- W2897631919 doi "https://doi.org/10.1080/17460441.2018.1534826" @default.
- W2897631919 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30326751" @default.
- W2897631919 hasPublicationYear "2018" @default.
- W2897631919 type Work @default.
- W2897631919 sameAs 2897631919 @default.
- W2897631919 citedByCount "14" @default.
- W2897631919 countsByYear W28976319192019 @default.
- W2897631919 countsByYear W28976319192020 @default.
- W2897631919 countsByYear W28976319192021 @default.
- W2897631919 countsByYear W28976319192022 @default.
- W2897631919 countsByYear W28976319192023 @default.
- W2897631919 crossrefType "journal-article" @default.
- W2897631919 hasAuthorship W2897631919A5047431371 @default.
- W2897631919 hasBestOaLocation W28976319192 @default.
- W2897631919 hasConcept C104317684 @default.
- W2897631919 hasConcept C127716648 @default.
- W2897631919 hasConcept C157764524 @default.
- W2897631919 hasConcept C174348530 @default.
- W2897631919 hasConcept C2777576037 @default.
- W2897631919 hasConcept C2779222958 @default.
- W2897631919 hasConcept C31258907 @default.
- W2897631919 hasConcept C41008148 @default.
- W2897631919 hasConcept C51323132 @default.
- W2897631919 hasConcept C54355233 @default.
- W2897631919 hasConcept C555944384 @default.
- W2897631919 hasConcept C6555983 @default.
- W2897631919 hasConcept C70721500 @default.
- W2897631919 hasConcept C76155785 @default.
- W2897631919 hasConcept C86803240 @default.
- W2897631919 hasConceptScore W2897631919C104317684 @default.
- W2897631919 hasConceptScore W2897631919C127716648 @default.
- W2897631919 hasConceptScore W2897631919C157764524 @default.
- W2897631919 hasConceptScore W2897631919C174348530 @default.
- W2897631919 hasConceptScore W2897631919C2777576037 @default.
- W2897631919 hasConceptScore W2897631919C2779222958 @default.
- W2897631919 hasConceptScore W2897631919C31258907 @default.
- W2897631919 hasConceptScore W2897631919C41008148 @default.
- W2897631919 hasConceptScore W2897631919C51323132 @default.
- W2897631919 hasConceptScore W2897631919C54355233 @default.
- W2897631919 hasConceptScore W2897631919C555944384 @default.