Cargando…
A fully open-source framework for deep learning protein real-valued distances
As deep learning algorithms drive the progress in protein structure prediction, a lot remains to be studied at this merging superhighway of deep learning and protein structure prediction. Recent findings show that inter-residue distance prediction, a more granular version of the well-known contact p...
Autor principal: | Adhikari, Badri |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414848/ https://www.ncbi.nlm.nih.gov/pubmed/32770096 http://dx.doi.org/10.1038/s41598-020-70181-0 |
Ejemplares similares
-
MULTICOM2 open-source protein structure prediction system powered by deep learning and distance prediction
por: Wu, Tianqi, et al.
Publicado: (2021) -
An Open-Source Deep Learning Algorithm for Efficient and Fully Automatic Analysis of the Choroid in Optical Coherence Tomography
por: Burke, Jamie, et al.
Publicado: (2023) -
Deep learning methods for protein torsion angle prediction
por: Li, Haiou, et al.
Publicado: (2017) -
Deep Learning-Based Advances in Protein Structure Prediction
por: Pakhrin, Subash C., et al.
Publicado: (2021) -
Improved protein structure reconstruction using secondary structures, contacts at higher distance thresholds, and non-contacts
por: Adhikari, Badri, et al.
Publicado: (2017)