Collects software dedicated to predicting specific properties of peptides

A deep learning model to predict anticancer peptides.

Anticancer Peptide Identification employing Multi-headed Deep-CNN

Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.

mACPpred 2.0: Stacked Deep Learning for Anticancer Peptide Prediction with Integrated Spatial and Probabilistic Feature Representations

ACP-MLC: A two-level prediction engine for identification of anticancer peptides and multi-label classification of their functional types

A Web Server for the Anticancer Peptides