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To further explore the functional roles of pocket mutations on network level, we investigated the gene co-expression distribution for gene-gene pairs harboring pocket mutations.
We organize this presentation into five main categories, denoting the kinds of problems being addressed by the various studies: identifying dysregulated pathways, elucidating consequences of mutations on network activities, integrating network operation into cell behavioral functions, integrating cell behavior into tissue-level processes and predicting effects of molecular interventions.
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Furthermore, KEGG does not provide any mutation information and the effect of mutation on networks could not be evaluated with KEGG.
Understanding the functions of the entire pathway(s), as well as the effects of the mutations on these networks, will also be vital.
PCPC directly measures Fisher's dimensionality from a principal component analysis based on the effects of randomly drawn mutation on the network fitness and is comparable to the dimensionality of the mutational variance-covariance M-matrix used in multivariate quantitative genetics [ 8].
In the context of systems-biology approaches, methods that examine protein-protein interactions are particularly informative because they evaluate the effect of mutations on the complex network of cellular interconnections.
Besides, mutation collision avoidance based on network fingerprinting is designed to eliminate mutation collision, thus improving the availability of the proposed method.
Although coexistence of somatic mutations on EGFR pathway networks have been observed in some individual cases (Toyooka et al, 2005), the low frequency of this occurrence has presented limitations to determining the clinical implications for these multiple mutation cases.
Replication and mutation on neutral networks are modeled by phenomenological rate equations as well as by a stochastic birth-and-death model.
We also determined the effect of the cytoplasmic network mutations on the apparent Km and Vmax of transport (Fig. S3).
Our findings therefore provide an incentive to perform a rational design of tissue-specific knock-in or conditional mouse models to unequivocally assign the role of EPHA3 mutation or loss of expression, possibly in the context of compound EPHA-ephrin network mutations, on lung tumorigenesis in vivo.
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