2021/12/24 by Leonid Hanin, Hanin, Leonid, Liyang Xie +3
Biochemistry, Genetics and Molecular Biology · Computer Science · Psychology · #34A99 #92-08 #92F05 #92F99 #Computational Drug Discovery Methods #FOS: Biological sciences #Gene Regulatory Network Analysis #Mental Health Research Topics #Quantitative Methods (q-bio.QM)
paper · pdf · doi:10.48550/arxiv.2112.13153
openalex publication_date 2021/12/24 · openalex created_date 2022/05/05 · openalex updated_date 2026/07/28
Synergy theories for multi-component agent mixtures use 1-agent dose-effect relations, assumed known from analyzing previous 1-agent experiments, to calculate baseline Neither-Synergy-Nor-Antagonism mixture dose-effect relations. The most commonly used synergy theory, Simple Effect Additivity, is not self-consistent mathematically. Many nonlinear alternatives have been suggested, almost all of which require an assumption that effects increase monotonically as dose increases. We here emphasize the recently introduced Incremental Effect Additivity synergy theory and briefly discuss Loewe Additivity. By utilizing the fact that, when dose increments approach zero, dose-effect relations approach linearity, Incremental Effect Additivity theory to some extent circumvents the non-linearity of dose-effect relations that plague Simple Effect Additivity calculations. We study mathematical properties of Incremental Effect Additivity that are relevant to practical implementation of this synergy theory and hold whatever particular area of biology, medicine, toxicology or pharmacology is involved. However, as yet Incremental Effect Additivity synergy theory has only been applied to mixture experiments simulating the toxic galactic cosmic ray mixture encountered during voyages in interplanetary space. Our main results are theorems, propositions, examples and counterexamples revealing various properties of Incremental Effect Additivity synergy theory including whether or not Neither-Synergy-Nor-Antagonism dose-effect relations lie between 1-agent dose-effect relations. These results are amply illustrated with figures.