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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...

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Detalles Bibliográficos
Autores principales: Ansari, Mehrad, White, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
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

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