Scansite 2.0: proteome-wide prediction of cell signaling interactions using short sequence motifs
Center for Cancer Research · Massachusetts Institute of Technology
Abstract
Scansite identifies short protein sequence motifs that are recognized by modular signaling domains, phosphorylated by protein Ser/Thr- or Tyr-kinases or mediate specific interactions with protein or phospholipid ligands. Each sequence motif is represented as a position-specific scoring matrix (PSSM) based on results from oriented peptide library and phage display experiments. Predicted domain-motif interactions from Scansite can be sequentially combined, allowing segments of biological pathways to be constructed in silico. The current release of Scansite, version 2.0, includes 62 motifs characterizing the binding and/or substrate specificities of many families of Ser/Thr- or Tyr-kinases, SH2, SH3, PDZ, 14-3-3…
Citation impact
- FWCI
- 36.75
- Percentile
- 100%
- References
- 24
Authors
1Topics & keywords
- Biology
- UniProt
- Sequence motif
- In silico
- Computational biology
- Sequence alignment
- Protein sequencing
- PDZ domain
- Life in Land