Active machine learning for transmembrane helix prediction

BACKGROUND: About 30% of genes code for membrane proteins, which are involved in a wide variety of crucial biological functions. Despite their importance, experimentally determined structures correspond to only about 1.7% of protein structures deposited in the Protein Data Bank due to the difficulty...

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Detalles Bibliográficos
Autores principales: Osmanbeyoglu, Hatice U, Wehner, Jessica A, Carbonell, Jaime G, Ganapathiraju, Madhavi K
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3009531/
https://www.ncbi.nlm.nih.gov/pubmed/20122233
http://dx.doi.org/10.1186/1471-2105-11-S1-S58

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3009531/
https://www.ncbi.nlm.nih.gov/pubmed/20122233
http://dx.doi.org/10.1186/1471-2105-11-S1-S58

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