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Found 3 papers, 2 papers with code
IDP-Bert: Predicting Properties of Intrinsically Disordered Proteins (IDP) Using Large Language Models
In this study, we introduce IDP-Bert model, a deep-learning architecture leveraging Transformers and Protein Language Models (PLMs) to map sequences directly to IDPs properties.
AlloyBERT: Alloy Property Prediction with Large Language Models
The pursuit of novel alloys tailored to specific requirements poses significant challenges for researchers in the field.
PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction
In this work, inspired by recent progress in Large Language Models (LLMs), we introduce PeptideBERT, a protein language model for predicting three key properties of peptides (hemolysis, solubility, and non-fouling).
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