DNdisorder

[…] a tool that possesses the characteristic of consistently high accuracy in predicting both short and long disordered regions. and spine-d is one of the top servers according to the casp9 ranking []., dndisorder employs boosted ensembles of deep networks to predict disordered regions in proteins []. deep networks (dns) are similar to neural networks but contain more layers and are trained […]

[…] many of these computational approaches use machine learning to learn mappings from a protein’s sequence to the ordered/disordered state of a protein []. some examples of this approach include dndisorder [], spine-d [], espritz [], ronn [], disopred [,] and predisorder []. dndisorder, for example, is a sequence-based approach for predicting disorder developed using ensembles of deep […]