BioinformaticsbioRxivPreprint
Investigation of Protein Melting Temperature Prediction with Cross-Method Validation on Biophysical Data
Karen Pailozian, Pavel Kohout, Jiřı́ Damborský, Stanislav Mazurenko
The paper evaluates deep learning models for predicting protein melting temperatures using proteomics and biophysics datasets, finding that fine-tuned embeddings improve performance on diverse validation sets.
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