Cargando…
PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides
BACKGROUND: Numerous organisms have evolved a wide range of toxic peptides for self-defense and predation. Their effective interstitial and macro-environmental use requires energetic and structural stability. One successful group of these peptides includes a tri-disulfide domain arrangement that off...
Autores principales: | Islam, S. M. Ashiqul, Sajed, Tanvir, Kearney, Christopher Michel, Baker, Erich J |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4491269/ https://www.ncbi.nlm.nih.gov/pubmed/26142484 http://dx.doi.org/10.1186/s12859-015-0633-x |
Ejemplares similares
-
Classes, Databases, and Prediction Methods of Pharmaceutically and Commercially Important Cystine-Stabilized Peptides
por: Islam, S M Ashiqul, et al.
Publicado: (2018) -
Assigning biological function using hidden signatures in cystine-stabilized peptide sequences
por: Islam, S. M. Ashiqul, et al.
Publicado: (2018) -
LipocalinPred: a SVM-based method for prediction of lipocalins
por: Ramana, Jayashree, et al.
Publicado: (2009) -
VirulentPred: a SVM based prediction method for virulent proteins in bacterial pathogens
por: Garg, Aarti, et al.
Publicado: (2008) -
Prediction of cystine connectivity using SVM
por: G. L., Jayavardhana Rama, et al.
Publicado: (2005)