Supplementary data for Reliable prediction of short linear motifs in the human proteome
Abstract
SData 1: Prediction results on the core ‘inside’ motifs (convolutional NNs, residue level prediction) SData 2: Prediction results on the core ‘inside’ motifs (fully connected NNs, residue level prediction) SData 3: Prediction results on the flanking regions of ‘inside’ motifs (convolutional NNs, residue level prediction) SData 4: Prediction results on the flanking regions of ‘inside’ motifs (fully connected NNs, residue level prediction) SData 5: Prediction results on the core ‘outside’ motifs (convolutional NNs, residue level prediction) SData 6: Prediction results on the core ‘outside’ motifs (fully connected NNs, residue level prediction) SData 7: Prediction results on ‘inside’ motifs (motif level prediction) SData 8: Prediction results on ‘outside’ motifs (motif level prediction)
Fields of Study & Subjects
Machine Learning in Bioinformatics
Protein Structure and Dynamics
vaccines and immunoinformatics approaches
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN