Multicomponent peptide nanostructures offer a powerful platform for designing functional materials, yet controlling their co-assembly remains a key challenge. Here, we harness electrostatic molecular recognition to drive the selective co-assembly of five amphiphilic ionic peptide binary mixtures (M1-M5). Our results revealed that charge distribution governs β-sheet strand alignment (parallel vs. antiparallel), assembly kinetics, and hydrogel viscoelasticity. Mixing stoichiometry and pH significantly influences co-assembly behavior, nanofiber morphology, and network structure (self-sorted vs. hetero-aggregated). At pH 7, equimolar mixtures undergo nucleation-driven co-assembly into hetero-aggregates, immediately forming well-defined nanofibers, while non-equimolar ratios yield altered morphologies. At a slightly acidic pH of 5-7, both E and K side chains are charged, enabling complementary ionic interactions that promote co-assembly and gelation. Outside this pH range, co-assembly is impaired. Notably, M1 forms β-sheets and hydrogels at acidic pH (≤4) via independent self-assembly of its components, suggesting self-sorted fibers. Overall, we demonstrate that tuning charge complementarity, ionization state, and stoichiometry enables precise control over the molecular, nanoscale, and mechanical properties of multicomponent peptide assemblies, providing a framework for the rational design of advanced peptide-based materials.
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Khedr et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69a75bbfc6e9836116a23a6e — DOI: https://doi.org/10.1002/smll.202513140
Abdulwahhab Khedr
Mohamed A. N. Soliman
Alfred Corrigan
Small
University of Manchester
University of Leicester
Manchester Academic Health Science Centre
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