Computational Methods in Systems Biology: International by Marino Miculan, Giorgio Bacci (auth.), Corrado Priami (eds.)

By Marino Miculan, Giorgio Bacci (auth.), Corrado Priami (eds.)

This booklet constitutes the refereed court cases of the foreign convention on Computational tools in platforms Biology, CMSB 2006, held in Trento, Italy, in October 2006.The 22 revised complete papers provided including 2 invited talks have been conscientiously reviewed and chosen from sixty eight submissions. The papers current a number of thoughts from desktop technological know-how, resembling language layout, concurrency idea, software program engineering, and formal tools, for biologists, physicists, and mathematicians attracted to the systems-level figuring out of mobile methods

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Extra resources for Computational Methods in Systems Biology: International Conference, CMSB 2006, Trento, Italy, October 18-19, 2006. Proceedings

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Those satisfying atomic proposition agrb2 ); D. What is the long-run probability that Grb2 is bound to FRS2? (S=? [agrb2 ]); E. What is the expected number of times Grb2 binds to FRS2 before degradation or relocation occurs? (R=? [F (asrc ∨aplc ∨aspry )], with rewards as for B); 42 J. Heath et al. F. What is the expected time Grb2 spends bound to FRS2 before degradation or relocation occurs? (R=? [F (asrc ∨aplc ∨aspry )], with rewards as for C); G. What is the probability that each possible cause of degradation/relocation has occurred by time T ?

Let P be a system in normal form. The relation over the set nf Deriv(P ). sys is a wqo The following theorem ensures that the hypothesis of Theorem 1 are satisfied. 30 N. Busi Theorem 7. Let P be a system in normal form. Then the transition system (nf Deriv(P ), →, sys ) is a well-structured transition system with decidable sys and computable Succ. Moreover, sys is a partial-ordering relation. By the above theorem and Theorems 1, 2 and 3 we get the following Corollary 1. Let P be a BC−phago system.

Figure 2 illustrates the different components in the pathway and their possible bindings. Below is a list of the reactions included in the model. Further details are provided in Figure 3. 1. An FGF ligand binds to an FGF receptor (FGFR) creating a complex of FGF and FGFR. 2. The existence of this FGF:FGFR dimer leads to phosphorylation of FGFR on two residues Y653 and Y654 in the activation loop of the receptor. 3. The dual Y653/654 form of the receptor leads to phosphorylation of other FGFR receptor residues: Y663, Y583, Y585, Y766 (in this model we only consider Y766 further).

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