Name
Title | ||
|---|---|---|
Understanding and predicting synthetic lethal genetic interactions in Saccharomyces cerevisiae using domain genetic interactions. |
Abstract | ||
|---|---|---|
Background Synthetic lethal genetic interactions among proteins have been widely used to define functional relationships between proteins
and pathways. However, the molecular mechanism of synthetic lethal genetic interactions is still unclear.
Results In this study, we demonstrated that yeast synthetic lethal genetic interactions can be explained by the genetic interactions
between domains of those proteins. The domain genetic interactions rarely overlap with the domain physical interactions from
iPfam database and provide a complementary view about domain relationships. Moreover, we found that domains in multidomain
yeast proteins contribute to their genetic interactions differently. The domain genetic interactions help more precisely define
the function related to the synthetic lethal genetic interactions, and then help understand how domains contribute to different
functionalities of multidomain proteins. Using the probabilities of domain genetic interactions, we were able to predict novel
yeast synthetic lethal genetic interactions. Furthermore, we had also identified novel compensatory pathways from the predicted
synthetic lethal genetic interactions.
Conclusion The identification of domain genetic interactions helps the understanding of originality of functional relationship in SLGIs
at domain level. Our study significantly improved the understanding of yeast mulitdomain proteins, the synthetic lethal genetic
interactions and the functional relationships between proteins and pathways. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1186/1752-0509-5-73 | BMC systems biology |
Keywords | Field | DocType |
algorithms,systems biology,probability,computational biology,molecular mechanics,genetics,bioinformatics | Biology,Gene ontology,Systems biology,Fungal protein,Nucleotide excision repair,Bioinformatics,Saccharomyces cerevisiae Proteins,Computational biology,Saccharomyces cerevisiae | Journal |
Volume | Issue | ISSN |
5 | 1 | 1752-0509 |
Citations | PageRank | References |
7 | 0.43 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Li | 1 | 578 | 45.93 |
| Weiguo Cao | 2 | 7 | 0.43 |
| Jizhong Zhou | 3 | 164 | 12.29 |
| Feng Luo | 4 | 284 | 26.03 |