PHOsphoproteomic dissecTiOn using Networks
Toolkit for concretely describing non-canonical DNA, RNA, and proteins
CWL workflow that facilitate performing a series of structural and phenotype related third party prediction methods starting from either a protein FASTA file or a list of Uniprot IDs. Integrated prediction methods refer to secondary structure, solvent accessibility, disordered regions, PTS modifications (phosphorylation, glycosylation, lipid mod…
Model training for prot2vec-based phosphorylation site prediction
Searching for Sulfotyrosines (sY) in a HA(pY)STACK
A Network Dynamics Toolkit for Phosphorylation Cascades
A modern Python implementation of NetPhorest for kinase–substrate prediction and phosphorylation crosstalk analysis.
Interactive demo of LitePhospho — my first-author thesis model. Paste a protein sequence to predict phosphorylation sites (S/T/Y) with per-site explainability. Trained model served via ONNX.
Map phosphosites onto AlphaFold structures. Find out where the phosphates hang out.
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