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Gong Y, et al.  (2011) Bioinformatic approach to identify chaperone pathway relationship from large-scale interaction networks. Methods Mol Biol 787():189-203

Abstract: We describe a computational protocol to identify functional modules and pathway relationship of chaperones based on physical interaction data derived from high-throughput proteomic experiments. The protocol first identifies interacting proteins shared by the different chaperone systems to organize the chaperones into functional modules. The chaperone functional modules represent groups of chaperones that are involved in mediating the folding of the shared interacting proteins. Either the chaperones in a module can function along a single folding pathway of a given substrate protein or the substrate protein might have two or more different folding pathways that the chaperones act on independently. As described in our computational protocol, probabilities of these pathway relationships between two chaperones in a two-component chaperone module can be determined using whole-genome expression and cellular pathways as reference. This protocol is potentially useful for identifying functional modules and pathway relationships in other biological systems that involve multiple proteins with many identified interactions.

Status: Published Type: Journal Article | Research Support, Non-U.S. Gov't PubMed ID: 21898237

Topics addressed in this paper

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CCT2 CCT3 CCT4 CCT5 CCT6 CCT7 CCT8 GIM3 GIM4 GIM5
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Topics Genes linked to topics (#11 - 20 )
HSC82 HSP42 HSP78 HSP82 PAC10 PFD1 SIS1 SSA1 SSA2 SSA4
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Topics Genes linked to topics (#21 - 27 )
SSB1 SSB2 SSE1 SSZ1 TCP1 YDJ1 YKE2
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