CoCoNat: a novel method based on deep learning for coiled-coil prediction.
Journal:
Bioinformatics (Oxford, England)
PMID:
37540220
Abstract
MOTIVATION: Coiled-coil domains (CCD) are widespread in all organisms and perform several crucial functions. Given their relevance, the computational detection of CCD is very important for protein functional annotation. State-of-the-art prediction methods include the precise identification of CCD boundaries, the annotation of the typical heptad repeat pattern along the coiled-coil helices as well as the prediction of the oligomerization state.