Cargando…
MemBrain: Improving the Accuracy of Predicting Transmembrane Helices
Prediction of transmembrane helices (TMH) in α helical membrane proteins provides valuable information about the protein topology when the high resolution structures are not available. Many predictors have been developed based on either amino acid hydrophobicity scale or pure statistical approaches....
Autores principales: | Shen, Hongbin, Chou, James J. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2396505/ https://www.ncbi.nlm.nih.gov/pubmed/18545655 http://dx.doi.org/10.1371/journal.pone.0002399 |
Ejemplares similares
-
MemBrain: An Easy-to-Use Online Webserver for Transmembrane Protein Structure Prediction
por: Yin, Xi, et al.
Publicado: (2017) -
mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops
por: Pavarino, Elisa C., et al.
Publicado: (2023) -
mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops
por: Pavarino, Elisa C., et al.
Publicado: (2023) -
Transmembrane α helices
por: Mall, Sanjay, et al.
Publicado: (2002) -
Improving the topology prediction of α-helical transmembrane proteins with deep transfer learning
por: Wang, Lei, et al.
Publicado: (2022)