Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases

Marios G. Krokidis; Georgios N. Dimitrakopoulos; Aristidis G. Vrahatis; Themis P. Exarchos; Panagiotis Vlamos

Journal ArticleOPEN ACCESS

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases

Krokidis M
Dimitrakopoulos G
Vrahatis A
et al.

Frontiers in Computational Neuroscience (2023) 17

DOI: 10.3389/fncom.2023.1323182

0Citations

3Readers

Author supplied keywords

deep learning algorithms
fold recognition
neurodegeneration
protein misfolding
structure prediction

Cite

CITATION STYLE

APA

Krokidis, M. G., Dimitrakopoulos, G. N., Vrahatis, A. G., Exarchos, T. P., & Vlamos, P. (2023). Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. Frontiers in Computational Neuroscience, 17. https://doi.org/10.3389/fncom.2023.1323182

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases

Author supplied keywords

Cite

Register to see more suggestions