Tool name | Function |
---|---|
iEnhancer-EL [31] | Identifying enhancers with the ensemble learning approach |
iPromoter-2L [32] | A two-layer predictor for identifying promoters by multiwindow-based K-tuple nucleotide composition |
Espritz [33] | Detecting disordered regions from primary sequences by extracting the relevant information from the local context of the residue under consideration using the bidirectional recursive neural network |
NetSurfP-2.0 [34] | Predicting the secondary structure for each residue of the input sequences by using an architecture composed of convolutional and long short-term memory neural networks |
CAMPR3 [35] | Multiple machine learning algorithms for predicting antimicrobial peptides based on the amino acid sequence |
MLCPP [36] | Machine-learning-based prediction of cell-penetrating peptides |