Viterbi Conference.
Talk by Michael Yaffee on Proteomic analysis of kinase signalling networks

- proteomic approach. how the information flows between the proteins.
- functionaly annotate proteome
- unify cell signaling and netw bilogy with bioinformatics
- identify druggable targets.
- - facilitate molecular analysis of chemical mechanisms
- provide a basis for understanding mutations.
- ctc2 kinase. Master regulator for cell division
- prevents the cells from dividing.
- we have a hierarchical process for phosphorylation and binding

domains.
- If we find motifs of the proteins .

Predict kinase substrates and binding domain.
pssm based on motifs from peptide libraryand phage display

experiments.

walk through the entire protein sequence db and score how good itis.
- Lets you make the call
- If the site were conserved.

Limitations:
1) Motifs based on peptides
2) pssms assume motif positions linearly independent.

- You can have pattern matchine
- HMM's or Neural networks
- don'tdo it as you need to have a large data set of mapped

phosphorlyations
- contribution from mass spectrometry


How does kinase signaling work.

If we wanted to assemble a very complicated machine.

- a concept that is fairly obvious. If you had a protein. Chk2engaged

in dna damage responses. After that is phosphorylated.