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Dataset Information

Response envelope analysis for quantitative evaluation of drug combinations.


ABSTRACT:

Motivation

The concept of synergy between two agents, over a century old, is important to the fields of biology, chemistry, pharmacology and medicine. A key step in drug combination analysis is the selection of an additivity model to identify combination effects including synergy, additivity and antagonism. Existing methods for identifying and interpreting those combination effects have limitations.

Results

We present here a computational framework, termed response envelope analysis (REA), that makes use of 3D response surfaces formed by generalized Loewe Additivity and Bliss Independence models of interaction to evaluate drug combination effects. Because the two models imply two extreme limits of drug interaction (mutually exclusive and mutually non-exclusive), a response e

SUBMITTER: Du D 

PROVIDER: S-EPMC7963081 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature