Control over Conformational Landscapes of Polypeptoids by Monomer Sequence Patterning

This dataset accompanies the article "Control Over Conformational Landscapes of Polypeptoids by Monomer Sequence Patterning" by Audra J. DeStefano, Shawn D. Mengel, Morgan W. Bates, Sally Jiao, M. Scott Shell, Songi Han, and Rachel A. Segalman in Macromolecules in 2024. The article demonstrates how patterning of hydrophobic residues along a polymer backbone can tune the distribution of end-to-end distances and that these effects can be predicted by a simple bead-spring simulation. This dataset contains the necessary experimental data to reproduce the main text and supporting figures. High performance liquid chromatographs, mass spectra, double electron-electron resonance time domain signals, and simulated end-to-end distance distributions are included. Methods Please refer to the methods section of the published main text for details on dataset collection and processing.