During the expansion of Bacillus subtilis biofilm on a solid MSgg substrate, cells within the biofilm form highly organized structures through interac…

Interactions between nanomaterials and biointerfaces are of great interest across many research fields, including chemistry, physics, engineering, and biology, with applications from diagnostics to th...

**Abstract:** This paper introduces a novel framework for predicting and optimizing protein mechanical stability at biointerfaces using hyperdimensional data representation and dynamic systems modeling. Current methods for assessing protein stability at interfaces often rely on empirical measurements and lack predictive power for complex, variable conditions. We present a data-driven approach leveraging a hyperdimensional representation of protein structure, interfacial interactions, and environmental parameters, coupled with a dynamic systems model to predict long-term mechanical behavior.