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Association rate constants of ras-effector interactions are evolutionarily conserved.

ABSTRACT: Evolutionary conservation of protein interaction properties has been shown to be a valuable indication for functional importance. Here we use homology interface modeling of 10 Ras-effector complexes by selecting ortholog proteins from 12 organisms representing the major eukaryotic branches, except plants. We find that with increasing divergence time the sequence similarity decreases with respect to the human protein, but the affinities and association rate constants are conserved as predicted by the protein design algorithm, FoldX. In parallel we have done computer simulations on a minimal network based on Ras-effector interactions, and our results indicate that in the absence of negative feedback, changes in kinetics that result in similar binding constants have strong consequences on network behavior. This, together with the previous results, suggests an important biological role, not only for equilibrium binding constants but also for kinetics in signaling processes involving Ras-effector interactions. Our findings are important to take into consideration in system biology approaches and simulations of biological networks.

SUBMITTER: Kiel C

PROVIDER: S-EPMC2588540 | biostudies-literature | 2008 Dec

REPOSITORIES: biostudies-literature

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Association rate constants of ras-effector interactions are evolutionarily conserved.

Kiel Christina C Aydin Dorothee D Serrano Luis L

PLoS computational biology 20081219 12

Evolutionary conservation of protein interaction properties has been shown to be a valuable indication for functional importance. Here we use homology interface modeling of 10 Ras-effector complexes by selecting ortholog proteins from 12 organisms representing the major eukaryotic branches, except plants. We find that with increasing divergence time the sequence similarity decreases with respect to the human protein, but the affinities and association rate constants are conserved as predicted by ...[more]

PMID: 19096503

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Project description:Despite the sequence homology between acid-sensing ion channels (ASICs) and epithelial sodium channel (ENaCs), these channel families display very different functional characteristics. Whereas ASICs are gated by protons and show a relatively low degree of selectivity for sodium over potassium, ENaCs are constitutively active and display a remarkably high degree of sodium selectivity. To decipher if some of the functional diversity originates from differences within the transmembrane helices (M1 and M2) of both channel families, we turned to a combination of computational and functional interrogations, using statistical coupling analysis and mutational studies on mouse ASIC1a. The coupling analysis suggests that the relative position of M1 and M2 in the upper part of the pore domain is likely to remain constant during the ASIC gating cycle, whereas they may undergo relative movements in the lower part. Interestingly, our data suggest that to account for coupled residue pairs being in close structural proximity, both domain-swapped and nondomain-swapped ASIC M2 conformations need to be considered. Such conformational flexibility is consistent with structural work, which suggested that the lower part of M2 can adopt both domain-swapped and nondomain-swapped conformations. Overall, mutations to residues in the middle and lower pore were more likely to affect gating and/or ion selectivity than those in the upper pore. Indeed, disrupting the putative interaction between a highly conserved Trp/Glu residue pair in the lower pore is detrimental to gating and selectivity, although this interaction might occur in both domain-swapped and nonswapped conformations. Finally, our results suggest that the greater number of larger, aromatic side chains in the ENaC M2 helix may contribute to the constitutive activity of these channels at a resting pH. Together, the data highlight differences in the transmembrane domains of these closely related ion channels that may help explain some of their distinct functional properties.

Dataset Information

Association rate constants of ras-effector interactions are evolutionarily conserved.

Publications

Association rate constants of ras-effector interactions are evolutionarily conserved.

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