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Machine Learning Guided Discovery of Non‐Hemolytic Membrane Disruptive Anticancer Peptides
Most antimicrobial peptides (AMPs) and anticancer peptides (ACPs) fold into membrane disruptive cationic amphiphilic α‐helices, many of which are however also unpredictably hemolytic and toxic. Here we exploited the ability of recurrent neural networks (RNN) to distinguish active from inactive and n...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541320/ https://www.ncbi.nlm.nih.gov/pubmed/35880810 http://dx.doi.org/10.1002/cmdc.202200291 |