Cargando…
PON-tstab: Protein Variant Stability Predictor. Importance of Training Data Quality
Several methods have been developed to predict effects of amino acid substitutions on protein stability. Benchmark datasets are essential for method training and testing and have numerous requirements including that the data is representative for the investigated phenomenon. Available machine learni...
Autores principales: | Yang, Yang, Urolagin, Siddhaling, Niroula, Abhishek, Ding, Xuesong, Shen, Bairong, Vihinen, Mauno |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979465/ https://www.ncbi.nlm.nih.gov/pubmed/29597263 http://dx.doi.org/10.3390/ijms19041009 |
Ejemplares similares
-
PON-P2: Prediction Method for Fast and Reliable Identification of Harmful Variants
por: Niroula, Abhishek, et al.
Publicado: (2015) -
ProTstab – predictor for cellular protein stability
por: Yang, Yang, et al.
Publicado: (2019) -
ProTstab2 for Prediction of Protein Thermal Stabilities
por: Yang, Yang, et al.
Publicado: (2022) -
PON-mt-tRNA: a multifactorial probability-based method for classification of mitochondrial tRNA variations
por: Niroula, Abhishek, et al.
Publicado: (2016) -
How good are pathogenicity predictors in detecting benign variants?
por: Niroula, Abhishek, et al.
Publicado: (2019)