Cargando…
Prediction of Protein S-Nitrosylation Sites Based on Adapted Normal Distribution Bi-Profile Bayes and Chou’s Pseudo Amino Acid Composition
Protein S-nitrosylation is a reversible post-translational modification by covalent modification on the thiol group of cysteine residues by nitric oxide. Growing evidence shows that protein S-nitrosylation plays an important role in normal cellular function as well as in various pathophysiologic con...
Autores principales: | Jia, Cangzhi, Lin, Xin, Wang, Zhiping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100159/ https://www.ncbi.nlm.nih.gov/pubmed/24918295 http://dx.doi.org/10.3390/ijms150610410 |
Ejemplares similares
-
Identify Lysine Neddylation Sites Using Bi-profile Bayes Feature Extraction via the Chou’s 5-steps Rule and General Pseudo Components
por: Ju, Zhe, et al.
Publicado: (2019) -
Prediction of presynaptic and postsynaptic neurotoxins by combining various Chou’s pseudo components
por: Huo, Haiyan, et al.
Publicado: (2017) -
Prediction of HIV-1 and HIV-2 proteins by using Chou’s pseudo amino acid compositions and different classifiers
por: Mei, Juan, et al.
Publicado: (2018) -
PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC
por: Zhang, Jian, et al.
Publicado: (2014) -
PseAAC-General: Fast Building Various Modes of General Form of Chou’s Pseudo-Amino Acid Composition for Large-Scale Protein Datasets
por: Du, Pufeng, et al.
Publicado: (2014)