Matches in SemOpenAlex for { <https://semopenalex.org/work/W3170713825> ?p ?o ?g. }
- W3170713825 endingPage "2024" @default.
- W3170713825 startingPage "2014" @default.
- W3170713825 abstract "• Index methods for identifying synergy produce structured patterns of bias. • Response surface methods (RSMs) more reliably identify synergy and antagonism. • RSMs can quantify two-drug therapeutic windows. • Discrete and probabilistic endpoints can be evaluated using RSMs. • RSMs can be extended to triplet combinations and atypical drug combination responses. Quantitative evaluation of how drugs combine to elicit a biological response is crucial for drug development. Evaluations of drug combinations are often performed using index-based methods, which are known to be biased and unstable. We examine how these methods can produce misleadingly structured patterns of bias, leading to erroneous judgments of synergy or antagonism. By contrast, response surface models are less prone to these defects and can be applied to a wide range of data that have appeared in recent literature, including the measurement of combination therapeutic windows and the analysis of discrete experimental measures, three-way drug combinations, and atypical response behaviors." @default.
- W3170713825 created "2021-06-22" @default.
- W3170713825 creator A5005777622 @default.
- W3170713825 creator A5054918044 @default.
- W3170713825 creator A5055171297 @default.
- W3170713825 creator A5058201275 @default.
- W3170713825 creator A5062577376 @default.
- W3170713825 creator A5079335891 @default.
- W3170713825 date "2021-08-01" @default.
- W3170713825 modified "2023-09-24" @default.
- W3170713825 title "Using response surface models to analyze drug combinations" @default.
- W3170713825 cites W1270845237 @default.
- W3170713825 cites W1641029843 @default.
- W3170713825 cites W1696775091 @default.
- W3170713825 cites W1976048521 @default.
- W3170713825 cites W1982551127 @default.
- W3170713825 cites W1984694945 @default.
- W3170713825 cites W1984864669 @default.
- W3170713825 cites W1991822158 @default.
- W3170713825 cites W1996418116 @default.
- W3170713825 cites W1998663218 @default.
- W3170713825 cites W2002544582 @default.
- W3170713825 cites W2016562927 @default.
- W3170713825 cites W2021172314 @default.
- W3170713825 cites W2025689551 @default.
- W3170713825 cites W2060737851 @default.
- W3170713825 cites W2061061337 @default.
- W3170713825 cites W2077945404 @default.
- W3170713825 cites W2115023325 @default.
- W3170713825 cites W2133587820 @default.
- W3170713825 cites W2140239055 @default.
- W3170713825 cites W2145952139 @default.
- W3170713825 cites W2155626151 @default.
- W3170713825 cites W2158733752 @default.
- W3170713825 cites W2223501982 @default.
- W3170713825 cites W2299417213 @default.
- W3170713825 cites W2344726805 @default.
- W3170713825 cites W2399043568 @default.
- W3170713825 cites W2414798983 @default.
- W3170713825 cites W2473876819 @default.
- W3170713825 cites W2565209476 @default.
- W3170713825 cites W2608863179 @default.
- W3170713825 cites W2750103408 @default.
- W3170713825 cites W2775061087 @default.
- W3170713825 cites W2888249358 @default.
- W3170713825 cites W2892267969 @default.
- W3170713825 cites W2901264793 @default.
- W3170713825 cites W2917986762 @default.
- W3170713825 cites W2921313927 @default.
- W3170713825 cites W2950860419 @default.
- W3170713825 cites W2951449549 @default.
- W3170713825 cites W2972783946 @default.
- W3170713825 cites W3000282644 @default.
- W3170713825 cites W3011191145 @default.
- W3170713825 cites W3014482292 @default.
- W3170713825 cites W3027142126 @default.
- W3170713825 cites W3094540299 @default.
- W3170713825 cites W2329253854 @default.
- W3170713825 doi "https://doi.org/10.1016/j.drudis.2021.06.002" @default.
- W3170713825 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8410662" @default.
- W3170713825 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34119666" @default.
- W3170713825 hasPublicationYear "2021" @default.
- W3170713825 type Work @default.
- W3170713825 sameAs 3170713825 @default.
- W3170713825 citedByCount "3" @default.
- W3170713825 countsByYear W31707138252021 @default.
- W3170713825 countsByYear W31707138252022 @default.
- W3170713825 countsByYear W31707138252023 @default.
- W3170713825 crossrefType "journal-article" @default.
- W3170713825 hasAuthorship W3170713825A5005777622 @default.
- W3170713825 hasAuthorship W3170713825A5054918044 @default.
- W3170713825 hasAuthorship W3170713825A5055171297 @default.
- W3170713825 hasAuthorship W3170713825A5058201275 @default.
- W3170713825 hasAuthorship W3170713825A5062577376 @default.
- W3170713825 hasAuthorship W3170713825A5079335891 @default.
- W3170713825 hasConcept C124101348 @default.
- W3170713825 hasConcept C126322002 @default.
- W3170713825 hasConcept C154945302 @default.
- W3170713825 hasConcept C170493617 @default.
- W3170713825 hasConcept C2776502983 @default.
- W3170713825 hasConcept C2777383412 @default.
- W3170713825 hasConcept C2780035454 @default.
- W3170713825 hasConcept C2994119904 @default.
- W3170713825 hasConcept C41008148 @default.
- W3170713825 hasConcept C49937458 @default.
- W3170713825 hasConcept C70721500 @default.
- W3170713825 hasConcept C71924100 @default.
- W3170713825 hasConcept C86803240 @default.
- W3170713825 hasConcept C98274493 @default.
- W3170713825 hasConceptScore W3170713825C124101348 @default.
- W3170713825 hasConceptScore W3170713825C126322002 @default.
- W3170713825 hasConceptScore W3170713825C154945302 @default.
- W3170713825 hasConceptScore W3170713825C170493617 @default.
- W3170713825 hasConceptScore W3170713825C2776502983 @default.
- W3170713825 hasConceptScore W3170713825C2777383412 @default.
- W3170713825 hasConceptScore W3170713825C2780035454 @default.
- W3170713825 hasConceptScore W3170713825C2994119904 @default.
- W3170713825 hasConceptScore W3170713825C41008148 @default.