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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset
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of transmembrane β-barrel nanopores. The group provides an interdisciplinary environment where computational method development is closely integrated with experimental validation and large dataset