Cargando…
Using Machine Learning in Accuracy Assessment of Knowledge-Based Energy and Frequency Base Likelihood in Protein Structures
Many aspects of the study of protein folding and dynamics have been affected by the accumulation of data about native protein structures and recent advances in machine learning. Computational methods for predicting protein structures from their sequences are now heavily based on machine learning too...
Autores principales: | Serafimova, Katerina, Mihaylov, Iliyan, Vassilev, Dimitar, Avdjieva, Irena, Zielenkiewicz, Piotr, Kaczanowski, Szymon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304015/ http://dx.doi.org/10.1007/978-3-030-50420-5_43 |
Ejemplares similares
-
The High Throughput Sequence Annotation Service (HT-SAS) – the shortcut from sequence to true Medline words
por: Kaczanowski, Szymon, et al.
Publicado: (2009) -
Dominance from the perspective of gene–gene and gene–chemical interactions
por: Gladki, Arkadiusz, et al.
Publicado: (2015) -
A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models
por: Mihaylov, Iliyan, et al.
Publicado: (2019) -
A kinetic model of the evolution of a protein interaction network
por: Pawlowski, Piotr H, et al.
Publicado: (2013) -
The evolutionary rate of antibacterial drug targets
por: Gladki, Arkadiusz, et al.
Publicado: (2013)