Chapter title |
Computational Analysis of the Chaperone Interaction Networks
|
---|---|
Chapter number | 20 |
Book title |
Chaperones
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7477-1_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7476-4, 978-1-4939-7477-1
|
Authors |
Ashwani Kumar, Kamran Rizzolo, Sandra Zilles, Mohan Babu, Walid A. Houry, Kumar, Ashwani, Rizzolo, Kamran, Zilles, Sandra, Babu, Mohan, Houry, Walid A. |
Abstract |
We provide computational protocols to identify chaperone interacting proteins using a combination of both physical (protein-protein) and genetic (gene-gene or epistatic) interaction data derived from the published large-scale proteomic and genomic studies for the budding yeast Saccharomyces cerevisiae. Using these datasets, we discuss bioinformatic analyses that can be employed to build comprehensive high-fidelity chaperone interaction networks. Given that many proteins typically function as complexes in the cell, we highlight various step-wise approaches for combining both the genetic and physical interaction datasets to decipher intra- and inter-connections for distinct chaperone- and non-chaperone-containing complexes in the network. Together, these informatics procedures will aid in identifying protein complexes with distinctive functional specializations in the cell that yield a very broad and diverse set of interactions. The described procedures can also be leveraged to datasets from other eukaryotes, including humans. |
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