Cargando…
Accurate Machine Learning Prediction of Protein Circular Dichroism Spectra with Embedded Density Descriptors
[Image: see text] A data-driven approach to simulate circular dichroism (CD) spectra is appealing for fast protein secondary structure determination, yet the challenge of predicting electric and magnetic transition dipole moments poses a substantial barrier for the goal. To address this problem, we...
Autores principales: | Zhao, Luyuan, Zhang, Jinxiao, Zhang, Yaolong, Ye, Sheng, Zhang, Guozhen, Chen, Xin, Jiang, Bin, Jiang, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715543/ https://www.ncbi.nlm.nih.gov/pubmed/34977905 http://dx.doi.org/10.1021/jacsau.1c00449 |
Ejemplares similares
-
Impact of conformation and intramolecular interactions on vibrational circular dichroism spectra identified with machine learning
por: Vermeyen, Tom, et al.
Publicado: (2023) -
Excitation and Circular Dichroism Spectra of (+)-(S,S)-bis(2-Methylbutyl)chalcogenides
por: Honda, Yasushi, et al.
Publicado: (2010) -
How accurate is circular dichroism-based model validation?
por: Nagy, Gabor, et al.
Publicado: (2020) -
DichroMatch: a website for similarity searching of circular dichroism spectra
por: Klose, D. P., et al.
Publicado: (2012) -
Absorption and Circular Dichroism Spectra of Molecular Aggregates With the
Full Cumulant Expansion
por: Cupellini, Lorenzo, et al.
Publicado: (2020)