CoCoNat is a novel deep-learning based method for predicting coiled-coil regions, register annotation and oligomenrization state. CoCoNat adopts a sequence encoding based on two state-of-the-art protein language models and a deep-learning architetcure to perform prediction.

More information on CoCoNat can be found here:

Madeo G, Savojardo C, Martelli PL, Casadio R (2023) CoCoNAt: a novel method based on deep-learning for coiled-coil prediction. Bioinformatics, 39(8).

To submit a single sequence fill the form below. In alternative, if you want to execute CoCoNat on a larger set of proteins (up to 500), please, use the Batch submission page.

Submit your sequence here (FASTA):
Provide precomputed coiled-coil segments (predict only oligomerization state):