Journal of Clinical and Translational Science (Jan 2023)

REAP-2: An interactive quantitative tool for robust and efficient dose-response curve estimation

  • Xinying Fang,
  • Xinyi Liu,
  • Vernon M. Chinchilli,
  • Michael Wang,
  • Hong-Gang Wang,
  • Nikolay V. Dokholyan,
  • Chan Shen,
  • J. Jack Lee,
  • Shouhao Zhou

DOI
https://doi.org/10.1017/cts.2023.642
Journal volume & issue
Vol. 7

Abstract

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REAP-2 is an interactive dose-response curve estimation tool for Robust and Efficient Assessment of drug Potency. It provides user-friendly dose-response curve estimation for in vitro studies and conducts statistical testing for model comparisons with a redesigned user interface. We also make a major update of the underlying estimation method with penalized beta regression, which demonstrates great reliability and accuracy in dose estimation and uncertainty quantification. In this note, we describe the method and implementation of REAP-2 with a highlight on potency estimation and drug comparison.

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