A simplified approach to disulfide connectivity prediction from protein sequences

BACKGROUND: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on different machine learning algorithms have been applied to solve this problem and public domain prediction services exist. These...

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Detalles Bibliográficos
Autores principales: Vincent, Marc, Passerini, Andrea, Labbé, Matthieu, Frasconi, Paolo
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375136/
https://www.ncbi.nlm.nih.gov/pubmed/18194539
http://dx.doi.org/10.1186/1471-2105-9-20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375136/
https://www.ncbi.nlm.nih.gov/pubmed/18194539
http://dx.doi.org/10.1186/1471-2105-9-20

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