Cargando…
Mal-Prec: computational prediction of protein Malonylation sites via machine learning based feature integration: Malonylation site prediction
BACKGROUND: Malonylation is a recently discovered post-translational modification that is associated with a variety of diseases such as Type 2 Diabetes Mellitus and different types of cancers. Compared with experimental identification of malonylation sites, computational method is a time-effective p...
Autores principales: | Liu, Xin, Wang, Liang, Li, Jian, Hu, Junfeng, Zhang, Xiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682087/ https://www.ncbi.nlm.nih.gov/pubmed/33225896 http://dx.doi.org/10.1186/s12864-020-07166-w |
Ejemplares similares
-
Mal-Lys: prediction of lysine malonylation sites in proteins integrated sequence-based features with mRMR feature selection
por: Xu, Yan, et al.
Publicado: (2016) -
A hybrid feature extraction scheme for efficient malonylation site prediction
por: Sorkhi, Ali Ghanbari, et al.
Publicado: (2022) -
Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites
por: Chen, Zhen, et al.
Publicado: (2018) -
Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins
por: Chung, Chia-Ru, et al.
Publicado: (2020) -
Screening Phosphorylation Site Mutations in Yeast Acetyl-CoA Carboxylase Using Malonyl-CoA Sensor to Improve Malonyl-CoA-Derived Product
por: Chen, Xiaoxu, et al.
Publicado: (2018)