Predicting secondary structures, contact numbers, and residue-wise contact orders of native protein structures from amino acid sequences using critical random networks

Predictions of one-dimensional protein structures such as secondary structures and contact numbers are useful for predicting three-dimensional structure and important for understanding the sequence-structure relationship. Here we present a new machine-learning method, critical random networks (CRNs)...

Descripción completa

Detalles Bibliográficos
Autores principales: Kinjo, Akira R., Nishikawa, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Biophysical Society of Japan (BSJ) 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5036631/
https://www.ncbi.nlm.nih.gov/pubmed/27857554
http://dx.doi.org/10.2142/biophysics.1.67