MSstatsResponse

MSstatsResponse implements statistical methods for detecting drug-protein interactions and estimating IC50 values from chemoproteomics data.

Key Features:

• Drug-Protein Interaction Detection: Identifies compound effects on protein abundance from chemoproteomics experiments.
• IC50 Estimation: Calculates half-maximal inhibitory concentration values for drug-protein interactions.
• Semi-Parametric Isotonic Regression: Applies monotonic regression methods for dose-response modeling.
• Bootstrapping: Uses resampling methods for statistical inference and confidence interval estimation.
• Curve Fitting: Fits dose-response curves to evaluate compound effects on protein abundance.

Scientific Applications:

• Chemoproteomics Analysis: Analyzes dose-response data from mass spectrometry-based chemoproteomics experiments to quantify drug-protein binding.
• Drug Target Identification: Identifies protein targets of small molecule compounds and characterizes their potency through IC50 estimation.

Methodology:

MSstatsResponse implements semi-parametric isotonic regression, bootstrapping, and curve fitting to evaluate compound effects on protein abundance.