Coarse-grained molecular dynamics and machine learning predict the Young's modulus of self-assembling di-, tri-, and pentapeptides, with relative rankings supported by AFM on a small set of short peptides.
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High-throughput Screening of the Mechanical Properties of Peptide Assemblies
Coarse-grained molecular dynamics and machine learning predict the Young's modulus of self-assembling di-, tri-, and pentapeptides, with relative rankings supported by AFM on a small set of short peptides.