Cargando…
Identify Lysine Neddylation Sites Using Bi-profile Bayes Feature Extraction via the Chou’s 5-steps Rule and General Pseudo Components
INTRODUCTION: Neddylation is a highly dynamic and reversible post-translational modification. The abnormality of neddylation has previously been shown to be closely related to some human diseases. The detection of neddylation sites is essential for elucidating the regulation mechanisms of protein ne...
Autores principales: | Ju, Zhe, Wang, Shi-Yun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Science Publishers
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7290059/ https://www.ncbi.nlm.nih.gov/pubmed/32581647 http://dx.doi.org/10.2174/1389202921666191223154629 |
Ejemplares similares
-
Prediction of Protein S-Nitrosylation Sites Based on Adapted Normal Distribution Bi-Profile Bayes and Chou’s Pseudo Amino Acid Composition
por: Jia, Cangzhi, et al.
Publicado: (2014) -
Prediction of presynaptic and postsynaptic neurotoxins by combining various Chou’s pseudo components
por: Huo, Haiyan, et al.
Publicado: (2017) -
iSulfoTyr-PseAAC: Identify Tyrosine Sulfation Sites by Incorporating Statistical Moments via Chou’s 5-steps Rule and Pseudo Components
por: Barukab, Omar, et al.
Publicado: (2019) -
iCrotoK-PseAAC: Identify lysine crotonylation sites by blending position relative statistical features according to the Chou’s 5-step rule
por: Malebary, Sharaf Jameel, et al.
Publicado: (2019) -
iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC
por: Khan, Yaser Daanial, et al.
Publicado: (2021)