MuSyC_robust: Generate MuSyC Ed Scores Using a Robust Functional Form

In maomlab/BayesPharma: Tools for Bayesian Analysis of Non-Linear Pharmacology Models

Generate MuSyC Ed Scores Using a Robust Functional Form

Description

Generate MuSyC Ed Scores Using a Robust Functional Form

Usage

MuSyC_robust(
  logd1,
  logd2,
  logE0,
  logE1,
  logC1,
  h1,
  logE2,
  logC2,
  h2,
  logE3,
  logalpha
)

Arguments

logd1	numeric log dose for treatment 1
logd2	numeric log dose for treatment 2
logE0	numeric Full log response with no treatment.
logE1	numeric Full log response for treatment 1 and the dose of treatment 2 is zero.
logC1	numeric AC50 for treatment 1 and dose of treatment 2 is zero.
h1	numeric Slope of treatment 1 at its AC50 and dose of treatment 2 is zero in exponential form. Use MuSyC_si_to_hi to convert from slope form.
logE2	numeric Full log response for treatment 2 and the dose of treatment 1 is zero.
logC2	numeric AC50 for treatment 2 and dose of treatment 1 is zero.
h2	numeric Slope of treatment 2 at its AC50 and dose of treatment 1 is zero in exponential form. Use MuSyC_si_to_hi to convert from slope form.
logE3	numeric Full response for treatment 1 and treatment 2.
logalpha	numeric Log synergistic potency parameter with greater than 1 is synergistic, less than 1 is antagonistic.

Value

numeric for the synergistic response to treatment 1 and treatment 2 at doses logd1 and logd2 respectively.

References

Meyer, D.J., Wooten, D.J., Paudel B.B., Bauer, J., Hardeman, K.N., Westover, D., Lovly, C.M., Harris, L.A., Tyson D.R., Quaranta, V., Quantifying Drug Combination Synergy along Potency and Efficacy Axes, Cell Syst. 8, 2 (2019). https://doi.org/10.1016/j.cels.2019.01.003

Wooten, D.J., Meyer, C.T., Lubbock, A.L.R. et al. MuSyC is a consensus framework that unifies multi-drug synergy metrics for combinatorial drug discovery. Nat Commun 12, 4607 (2021). https://doi.org/10.1038/s41467-021-24789-z

See Also

MuSyC_model

maomlab/BayesPharma documentation built on Aug. 24, 2024, 8:45 a.m.