DLocalMotif is a discriminitive motif discovery web service specifically designed to discover local motifs in protein sequences that are aligned relative to a defined sequence landmark. It uses three discriminitive scoring features, motif spatial confinement (MSC), motif over-representation (MOR) and motif relative entropy (MRE). These features establish if a motif is positioned in a constrained sequence interval in positive data set and absent in negative data set.
- A standalone software of our method is available here.
If you use DLocalMotif in your research, please cite the following paper:
Ahmed M. Mehdi, Muhammad Shoaib B. Sehgal, Bostjan Kobe, Timothy L. Bailey and Mikael Bodén "DLocalMotif: A discriminative approach for discovering local motifs in protein sequences" (2013), Bioinformatics, 29 (1):39-46 [Abstract and Full Text]