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regions (UL-CDRs) represent a unique structural class with exceptional potential for targeting otherwise inaccessible epitopes. These UL-CDRs feature a distinctive architecture comprising a β-ribbon stalk
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rather than the structured biofilms found in real-world environments. This project investigates how engineered surface topographies influence HGT dynamics, aiming to develop design principles for materials
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: Machine Learning Molecular Dynamics. The project involves the development and application of machine learning methods that enable a major boost of the time and length scales accessible to ab-initio/first
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