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Citation: Zink S, Qu S, Holton T, Shankar E, Stanley P, Eisenberg DS, et al. (2025) Leveraging structure-informed machine learning for fast steric zipper propensity prediction across whole proteomes. PLoS Comput Biol 21(8): e1013395. https://doi.org/10.1371/journal.pcbi.1013395 Editor: Joanna Slusky, University of Kansas, UNITED STATES OF AMERICA Received: September 14, 2024; Accepted: August 4, 2025; Published: August 25, 2025 Copyright: © 2025 Zink et al.

Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description pc70050-sup-0001-supinfo.docxWord 2007 document , 3 MB Data S1 Supporting Information. References 1, , , et al., “Synthesis of Novel Antibacterial and Biocompatible Polymer Nanocomposite Based on Polysaccharide Gum Hydrogels,” Scientific Reports 13, no. 1 (2023): 16800.

2.5. The Apollo detector and its use for MicroED EBEC data measurements The Apollo detector houses a monolithic active pixel sensor performing correlated double sampling, on-chip thresholding, on-chip event detection, and event encoding. The sensor is composed of 4 × 2 rectangular sensor segments comprising a contiguous 4096 × 4096 array of 8 µm pixels. The time resolution for event detection is 418 µs.