The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
What is synergy? The Saariselkä agreement revisited
Open accessAbstract
Many biological or chemical agents when combined interact with each other and produce a synergistic response that cannot be predicted based on the single agent responses alone. However, depending on the postulated null hypothesis of non-interaction, one may end up in different interpretations of synergy. Two popular reference models for null hypothesis include the Bliss independence model and the Loewe additivity model, each of which is formulated from different perspectives. During the last century, there has been an intensive debate on the suitability of these synergy models, both of which are theoretically justified and also in practice supported by different schools of scientists. More than 20 years ago, there was a community effort to make a consensus on the terminology one should use when claiming synergy. The agreement was formulated at a conference held in Saariselkä, Finland in 1992, stating that one should use the terms Bliss synergy or Loewe synergy to avoid ambiguity in the underlying models. We review the theoretical relationships between these models and argue that one should combine the advantages of both models to provide a more consistent definition of synergy and antagonism.
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Cites
Drug combination studies and their synergy quantification using the Chou-Talalay method
Chou, T.-C. (2010) · Cancer Research · doi:10.1158/0008-5472.can-09-1947 · Cited by 5,739
Quantifying the evidence for ecological synergies
Darling, E. S., & Côté, I. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2008.01243.x · Cited by 723
Systems biology and combination therapy in the quest for clinical efficacy
Fitzgerald, J. B., Schoeberl, B., Nielsen, U. B., & Sorger, P. K. (2006) · Nature Chemical Biology · doi:10.1038/nchembio817 · Cited by 570
A New Bliss Independence Model to Analyze Drug Combination Data
Zhao, W., Sachsenmeier, K., Zhang, L., Sult, E., Hollingsworth, R. E., & Yang, H. (2014) · SLAS Discovery · doi:10.1177/1087057114521867 · Cited by 322
Interaction Index and Different Methods for Determining Drug Interaction in Combination Therapy
Lee, J. J., Kong, M., Ayers, G. D., & Lotan, R. (2007) · Journal of Biopharmaceutical Statistics · doi:10.1080/10543400701199593 · Cited by 135
Miller, M. L., Molinelli, E. J., Nair, J. S., Sheikh, T., Samy, R., Jing, X., He, Q., Korkut, A., Crago, A. M., Singer, S., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004014 · Cited by 86
Cited by
Zheng, S., Wang, W., Aldahdooh, J., Malyutina, A., Shadbahr, T., Tanoli, Z., Pessia, A., & Tang, J. (2022) · Genomics, Proteomics & Bioinformatics · doi:10.1016/j.gpb.2022.01.004 · Cited by 733
Self-citationZhou, X., Seto, S. W., Chang, D., Kiat, H., Razmovski-Naumovski, V., Chan, K., & Bensoussan, A. (2016) · Frontiers in Pharmacology · doi:10.3389/fphar.2016.00201 · Cited by 538
Vaou, N., Stavropoulou, E., Voidarou, C. (., Tsakris, Z., Rozos, G., Tsigalou, C., & Bezirtzoglou, E. (2022) · Antibiotics · doi:10.3390/antibiotics11081014 · Cited by 406
Duarte, D., & Vale, N. (2022) · Current Research in Pharmacology and Drug Discovery · doi:10.1016/j.crphar.2022.100110 · Cited by 340
Methods for High-throughput Drug Combination Screening and Synergy Scoring
He, L., Kulesskiy, E., Saarela, J., Turunen, L., Wennerberg, K., Aittokallio, T., & Tang, J. (2018) · Methods in Molecular Biology · doi:10.1007/978-1-4939-7493-1_17 · Cited by 232
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Metadata
- Authors
- Tang, J., Wennerberg, K., & Aittokallio, T.
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2015-09-01
- Volume
- 6
- Pages
- 181-181
- ISSN
- 1663-9812 (ISSN-L)
- OpenAlex
- W1823184461
- Cited by
- 217
- References
- 6
- FWCI
- 9.65
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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