DynaMine is a fast predictor of protein backbone dynamics using only sequence information as input.
A collection of tools to analyse oligogenic data related to genetic diseases.
Noumenon is a Contact Prediction validation dataset developed by G. Orlando, D. Raimondi and W. Vranken.
Prediction of protein disorder from sequence only.
Python implementation of the Random Forest Kernel.
WARP is an alignment-free tool for ultra-fast protein homology detection. It evaluates the similarity between two proteins by computing an approximate Dynamic Time Warping score on some compressed numeric representation of the target proteins. It then evaluates the likelihood of two proteins being homologous using a Random Forest classifier.
PhyloCys is a disulfide connectivity pattern predictor based on evolutionary information and phylogenetic trees inferred from Multiple Sequence Alignments (MSAs).
Investigating the molecular mechanisms behind uncharacterized cysteine losses from prediction of their oxidation state.
Rigapollo is a pairwise alignment method based on a HMM-SVM.
Sephiroth is a disulfide connectivity pattern predictor based on evolutionary information retrieved from Multiple Sequence Alignments (MSAs). The algorithm has been designed by Gabriele Orlando, Daniele Raimondi and Wim Vranken.