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Serverless Prediction of Peptide Properties with Recurrent Neural Networks
[Image: see text] We present three deep learning sequence-based prediction models for peptide properties including hemolysis, solubility, and resistance to nonspecific interactions that achieve comparable results to the state-of-the-art models. Our sequence-based solubility predictor, MahLooL, outpe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10131225/ https://www.ncbi.nlm.nih.gov/pubmed/37010950 http://dx.doi.org/10.1021/acs.jcim.2c01317 |