Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition
High-throughput techniques allow for massive screening of drug combinations. To find combinations that exhibit an interaction effect, one filters for promising compound combinations by comparing to a response without interaction. A common principle for no interaction is Loewe Additivity which is bas...
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doaj-399250e393d143edbb7ec9f16ea719682020-11-24T21:53:32ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122018-02-01910.3389/fphar.2018.00031319664Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency ConditionSimone Lederer0Tjeerd M. H. Dijkstra1Tjeerd M. H. Dijkstra2Tom Heskes3Institute for Computing and Information Sciences, Radboud University, Nijmegen, NetherlandsMax Planck Institute for Developmental Biology, Tübingen, GermanyCenter for Integrative Neuroscience, University Tübingen, Tübingen, GermanyInstitute for Computing and Information Sciences, Radboud University, Nijmegen, NetherlandsHigh-throughput techniques allow for massive screening of drug combinations. To find combinations that exhibit an interaction effect, one filters for promising compound combinations by comparing to a response without interaction. A common principle for no interaction is Loewe Additivity which is based on the assumption that no compound interacts with itself and that two doses from different compounds having the same effect are equivalent. It then should not matter whether a component is replaced by the other or vice versa. We call this assumption the Loewe Additivity Consistency Condition (LACC). We derive explicit and implicit null reference models from the Loewe Additivity principle that are equivalent when the LACC holds. Of these two formulations, the implicit formulation is the known General Isobole Equation (Loewe, 1928), whereas the explicit one is the novel contribution. The LACC is violated in a significant number of cases. In this scenario the models make different predictions. We analyze two data sets of drug screening that are non-interactive (Cokol et al., 2011; Yadav et al., 2015) and show that the LACC is mostly violated and Loewe Additivity not defined. Further, we compare the measurements of the non-interactive cases of both data sets to the theoretical null reference models in terms of bias and mean squared error. We demonstrate that the explicit formulation of the null reference model leads to smaller mean squared errors than the implicit one and is much faster to compute.http://journal.frontiersin.org/article/10.3389/fphar.2018.00031/fulldose equivalenceexplicit mean equationgeneral isobole equationHill curvenull reference modelresponse surface |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Simone Lederer Tjeerd M. H. Dijkstra Tjeerd M. H. Dijkstra Tom Heskes |
spellingShingle |
Simone Lederer Tjeerd M. H. Dijkstra Tjeerd M. H. Dijkstra Tom Heskes Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition Frontiers in Pharmacology dose equivalence explicit mean equation general isobole equation Hill curve null reference model response surface |
author_facet |
Simone Lederer Tjeerd M. H. Dijkstra Tjeerd M. H. Dijkstra Tom Heskes |
author_sort |
Simone Lederer |
title |
Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition |
title_short |
Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition |
title_full |
Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition |
title_fullStr |
Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition |
title_full_unstemmed |
Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition |
title_sort |
additive dose response models: explicit formulation and the loewe additivity consistency condition |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Pharmacology |
issn |
1663-9812 |
publishDate |
2018-02-01 |
description |
High-throughput techniques allow for massive screening of drug combinations. To find combinations that exhibit an interaction effect, one filters for promising compound combinations by comparing to a response without interaction. A common principle for no interaction is Loewe Additivity which is based on the assumption that no compound interacts with itself and that two doses from different compounds having the same effect are equivalent. It then should not matter whether a component is replaced by the other or vice versa. We call this assumption the Loewe Additivity Consistency Condition (LACC). We derive explicit and implicit null reference models from the Loewe Additivity principle that are equivalent when the LACC holds. Of these two formulations, the implicit formulation is the known General Isobole Equation (Loewe, 1928), whereas the explicit one is the novel contribution. The LACC is violated in a significant number of cases. In this scenario the models make different predictions. We analyze two data sets of drug screening that are non-interactive (Cokol et al., 2011; Yadav et al., 2015) and show that the LACC is mostly violated and Loewe Additivity not defined. Further, we compare the measurements of the non-interactive cases of both data sets to the theoretical null reference models in terms of bias and mean squared error. We demonstrate that the explicit formulation of the null reference model leads to smaller mean squared errors than the implicit one and is much faster to compute. |
topic |
dose equivalence explicit mean equation general isobole equation Hill curve null reference model response surface |
url |
http://journal.frontiersin.org/article/10.3389/fphar.2018.00031/full |
work_keys_str_mv |
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