
PepUniBERT
PepUniBERT is a general-purpose large language model for peptide function and property prediction, which can easily and efficiently predict the function of 20 peptides and the subcellular localization of peptides.
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For the prediction of blood-brain barrier permeability for small molecules, we have integrated multiple descriptors to achieve optimal predictive performance. These descriptors include information extracted from the Simplified Molecular-Input Line-Entry System (SMILES), molecular graph data, molecular fingerprints, and quantum chemical properties of the molecules.
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