Cargando…
Sixty-five years of the long march in protein secondary structure prediction: the final stretch?
Protein secondary structure prediction began in 1951 when Pauling and Corey predicted helical and sheet conformations for protein polypeptide backbone even before the first protein structure was determined. Sixty-five years later, powerful new methods breathe new life into this field. The highest th...
Autores principales: | Yang, Yuedong, Gao, Jianzhao, Wang, Jihua, Heffernan, Rhys, Hanson, Jack, Paliwal, Kuldip, Zhou, Yaoqi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952956/ https://www.ncbi.nlm.nih.gov/pubmed/28040746 http://dx.doi.org/10.1093/bib/bbw129 |
Ejemplares similares
Cargando…
Final Budget of the Organization for the Sixty-Fifth Financial Year 2019
Publicado: (2018)
Publicado: (2018)
Cargando…
Final Budget of the Organization for the sixty-first financial year 2015
Publicado: (2014)
Publicado: (2014)
Ejemplares similares
-
Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning
por: Heffernan, Rhys, et al.
Publicado: (2015) -
RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning
por: Singh, Jaswinder, et al.
Publicado: (2019) -
SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning
por: Hanson, Jack, et al.
Publicado: (2019) -
Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment
por: Singh, Jaspreet, et al.
Publicado: (2022) -
Predicting RNA distance-based contact maps by integrated deep learning on physics-inferred secondary structure and evolutionary-derived mutational coupling
por: Singh, Jaswinder, et al.
Publicado: (2022)