Source Code and Data for: "Intensity Modulation of Trichromatic Split Fluorescent Proteins for Live Cell Mapping"

This record contains original source code and datasets associated with the manuscript:"Intensity Modulation of Trichromatic Split Fluorescent Proteins for Live Cell Mapping."Contents:• Method S1 – RosettaScripts protocol for site-saturation mutagenesis (SSM)• Method S2 – RosettaScripts protocol for point mutation and mutation cluster interface design• Method S3 – Python program for Caterpie cell classification using Gaussian Mixture Models (GMM)• Figure 6 Source Data 1 – Fluorescence intensity dataset used for training the classification model• Figure 6 Source Data 2 – Independent fluorescence intensity dataset used for validation and testing of the model• Figure 6 Source Data 3 – Cell-label matrix used for spatial reconstruction and visualization of classification resultsThe RosettaScripts protocols were used for computational protein design of split sfCherry3C and related variants.The Python program implements fluorescence intensity normalization, spherical coordinate transformation, Gaussian mixture modeling, and probabilistic cell population classification as described in Figure 6 and the STAR Methods section.All materials are publicly available to ensure full reproducibility of computational protein design and fluorescence-based cell classification analyses.