Mal-Prec: computational prediction of protein Malonylation sites via machine learning based feature integration : Malonylation site prediction.

Liu, Xin; Wang, Liang; Li, Jian; Hu, Junfeng; Zhang, Xiao

Liu, Xin; Wang, Liang; Li, Jian; Hu, Junfeng; Zhang, Xiao.

Afiliación

Liu X; Department of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China. flyinsky6@gmail.com.
Wang L; Department of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.
Li J; Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, 221000, Jiangsu, China.
Hu J; School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70118, USA.
Zhang X; Department of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China.

BMC Genomics ; 21(1): 812, 2020 Nov 23.

Article en En | MEDLINE | ID: mdl-33225896

Asunto(s)

Diabetes Mellitus Tipo 2; Lisina; Secuencia de Aminoácidos; Biología Computacional; Humanos; Lisina/metabolismo; Aprendizaje Automático; Procesamiento Proteico-Postraduccional; Máquina de Vectores de Soporte

Palabras clave

Machine learning; Malonylation; Post-translational modification; Principal component analysis; Support vector machine

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Lisina Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google