PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction

[Image: see text] Recent advances in language models have enabled the protein modeling community with a powerful tool that uses transformers to represent protein sequences as text. This breakthrough enables a sequence-to-property prediction for peptides without relying on explicit structural data. I...

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Detalles Bibliográficos
Autores principales: Guntuboina, Chakradhar, Das, Adrita, Mollaei, Parisa, Kim, Seongwon, Barati Farimani, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683064/
https://www.ncbi.nlm.nih.gov/pubmed/37956397
http://dx.doi.org/10.1021/acs.jpclett.3c02398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683064/
https://www.ncbi.nlm.nih.gov/pubmed/37956397
http://dx.doi.org/10.1021/acs.jpclett.3c02398

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