Artificial signal peptide prediction by a hidden markov model to improve protein secretion via Lactococcus lactis bacteria

A hidden Markov model (HMM) has been utilized to predict and generate artificial secretory signal peptide sequences. The strength of signal peptides of proteins from different subcellular locations via Lactococcus lactis bacteria correlated with their HMM bit scores in the model. The results show th...

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Detalles Bibliográficos
Autores principales: Razmara, Jafar, Deris, Safaai B, Illias, Rosli Bin Md, Parvizpour, Sepideh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2013
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669786/
https://www.ncbi.nlm.nih.gov/pubmed/23750078
http://dx.doi.org/10.6026/97320630009345

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3669786/
https://www.ncbi.nlm.nih.gov/pubmed/23750078
http://dx.doi.org/10.6026/97320630009345

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