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Using Support Vector Machine and Evolutionary Profiles to Predict Antifreeze Protein Sequences
Antifreeze proteins (AFPs) are ice-binding proteins. Accurate identification of new AFPs is important in understanding ice-protein interactions and creating novel ice-binding domains in other proteins. In this paper, an accurate method, called AFP_PSSM, has been developed for predicting antifreeze p...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Molecular Diversity Preservation International (MDPI)
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3292016/ https://ncbi.nlm.nih.gov/pubmed/22408447 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijms13022196 |
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