Cargando…
IgTM: An algorithm to predict transmembrane domains and topology in proteins
BACKGROUND: Due to their role of receptors or transporters, membrane proteins play a key role in many important biological functions. In our work we used Grammatical Inference (GI) to localize transmembrane segments. Our GI process is based specifically on the inference of Even Linear Languages. RES...
Autores principales: | Peris, Piedachu, López, Damián, Campos, Marcelino |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2566583/ https://www.ncbi.nlm.nih.gov/pubmed/18783592 http://dx.doi.org/10.1186/1471-2105-9-367 |
Ejemplares similares
-
MetaTM - a consensus method for transmembrane protein topology prediction
por: Klammer, Martin, et al.
Publicado: (2009) -
Localizome: a server for identifying transmembrane topologies and TM helices of eukaryotic proteins utilizing domain information
por: Lee, Sunghoon, et al.
Publicado: (2006) -
PredβTM: A Novel β-Transmembrane Region Prediction Algorithm
por: Roy Choudhury, Amrita, et al.
Publicado: (2015) -
AllesTM: predicting multiple structural features of transmembrane proteins
por: Hönigschmid, Peter, et al.
Publicado: (2020) -
TM9 family proteins control surface targeting of glycine-rich transmembrane domains
por: Perrin, Jackie, et al.
Publicado: (2015)