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AmylPepPred: Amyloidogenic Peptide Prediction tool
We present an efficient computational architecture designed using supervised machine learning model to predict amyloid fibril forming protein segments, named AmylPepPred. The proposed prediction model is based on bio-physio-chemical properties of primary sequences and auto-correlation function of th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Biomedical Informatics
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524944/ https://www.ncbi.nlm.nih.gov/pubmed/23275694 http://dx.doi.org/10.6026/97320630008994 |