Cargando…
DeepDist: real-value inter-residue distance prediction with deep residual convolutional network
BACKGROUND: Driven by deep learning, inter-residue contact/distance prediction has been significantly improved and substantially enhanced ab initio protein structure prediction. Currently, most of the distance prediction methods classify inter-residue distances into multiple distance intervals inste...
Autores principales: | Wu, Tianqi, Guo, Zhiye, Hou, Jie, Cheng, Jianlin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831258/ https://www.ncbi.nlm.nih.gov/pubmed/33494711 http://dx.doi.org/10.1186/s12859-021-03960-9 |
Ejemplares similares
-
Correction to: DeepDist: real‑value inter‑residue distance prediction with deep residual convolutional network
por: Wu, Tianqi, et al.
Publicado: (2021) -
Protein model accuracy estimation empowered by deep learning and inter-residue distance prediction in CASP14
por: Chen, Xiao, et al.
Publicado: (2021) -
Analysis of several key factors influencing deep learning-based inter-residue contact prediction
por: Wu, Tianqi, et al.
Publicado: (2019) -
Predicting the Real‐Valued Inter‐Residue Distances for Proteins
por: Ding, Wenze, et al.
Publicado: (2020) -
Enhancing protein inter-residue real distance prediction by scrutinising deep learning models
por: Rahman, Julia, et al.
Publicado: (2022)