FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2021036768> ?p ?o ?g. }

• W2021036768 abstract "The study of biological interaction networks is a central theme of systems biology. Here, we investigate the relationships between two distinct types of interaction networks: the metabolic pathway map and the protein-protein interaction network (PIN). It has long been established that successive enzymatic steps are often catalyzed by physically interacting proteins forming permanent or transient multi-enzymes complexes. Inspecting high-throughput PIN data, it was shown recently that, indeed, enzymes involved in successive reactions are generally more likely to interact than other protein pairs. In our study, we expanded this line of research to include comparisons of the underlying respective network topologies as well as to investigate whether the spatial organization of enzyme interactions correlates with metabolic efficiency.Analyzing yeast data, we detected long-range correlations between shortest paths between proteins in both network types suggesting a mutual correspondence of both network architectures. We discovered that the organizing principles of physical interactions between metabolic enzymes differ from the general PIN of all proteins. While physical interactions between proteins are generally dissortative, enzyme interactions were observed to be assortative. Thus, enzymes frequently interact with other enzymes of similar rather than different degree. Enzymes carrying high flux loads are more likely to physically interact than enzymes with lower metabolic throughput. In particular, enzymes associated with catabolic pathways as well as enzymes involved in the biosynthesis of complex molecules were found to exhibit high degrees of physical clustering. Single proteins were identified that connect major components of the cellular metabolism and may thus be essential for the structural integrity of several biosynthetic systems.Our results reveal topological equivalences between the protein interaction network and the metabolic pathway network. Evolved protein interactions may contribute significantly towards increasing the efficiency of metabolic processes by permitting higher metabolic fluxes. Thus, our results shed further light on the unifying principles shaping the evolution of both the functional (metabolic) as well as the physical interaction network." @default.
• W2021036768 created "2016-06-24" @default.
• W2021036768 creator A5042433172 @default.
• W2021036768 creator A5061247186 @default.
• W2021036768 date "2008-11-25" @default.
• W2021036768 modified "2023-10-18" @default.
• W2021036768 title "The integrated analysis of metabolic and protein interaction networks reveals novel molecular organizing principles" @default.
• W2021036768 cites W112582619 @default.
• W2021036768 cites W1483104407 @default.
• W2021036768 cites W1538094901 @default.
• W2021036768 cites W1581077884 @default.
• W2021036768 cites W1588911128 @default.
• W2021036768 cites W1596853541 @default.
• W2021036768 cites W1671906456 @default.
• W2021036768 cites W171825432 @default.
• W2021036768 cites W1867601452 @default.
• W2021036768 cites W1971404261 @default.
• W2021036768 cites W1976334064 @default.
• W2021036768 cites W1976672440 @default.
• W2021036768 cites W1977802905 @default.
• W2021036768 cites W1983202741 @default.
• W2021036768 cites W1989921625 @default.
• W2021036768 cites W2002396510 @default.
• W2021036768 cites W2008620264 @default.
• W2021036768 cites W2008873087 @default.
• W2021036768 cites W2009545612 @default.
• W2021036768 cites W2013520054 @default.
• W2021036768 cites W2029160862 @default.
• W2021036768 cites W2034994407 @default.
• W2021036768 cites W2037433020 @default.
• W2021036768 cites W2040581784 @default.
• W2021036768 cites W2040956707 @default.
• W2021036768 cites W2046618236 @default.
• W2021036768 cites W2048596679 @default.
• W2021036768 cites W2053906518 @default.
• W2021036768 cites W2062235204 @default.
• W2021036768 cites W2063639254 @default.
• W2021036768 cites W2072348849 @default.
• W2021036768 cites W2072883384 @default.
• W2021036768 cites W2074405508 @default.
• W2021036768 cites W2075416920 @default.
• W2021036768 cites W2081617218 @default.
• W2021036768 cites W2084619201 @default.
• W2021036768 cites W2103328552 @default.
• W2021036768 cites W2104085672 @default.
• W2021036768 cites W2104315543 @default.
• W2021036768 cites W2112090702 @default.
• W2021036768 cites W2113654464 @default.
• W2021036768 cites W2113857833 @default.
• W2021036768 cites W2119309660 @default.
• W2021036768 cites W2121507105 @default.
• W2021036768 cites W2124637492 @default.
• W2021036768 cites W2128572161 @default.
• W2021036768 cites W2130755410 @default.
• W2021036768 cites W2135386829 @default.
• W2021036768 cites W2137450588 @default.
• W2021036768 cites W2140000393 @default.
• W2021036768 cites W2140614065 @default.
• W2021036768 cites W2140827816 @default.
• W2021036768 cites W2144377197 @default.
• W2021036768 cites W2148606196 @default.
• W2021036768 cites W2153577994 @default.
• W2021036768 cites W2155320925 @default.
• W2021036768 cites W2158784643 @default.
• W2021036768 cites W2162891889 @default.
• W2021036768 cites W2163485494 @default.
• W2021036768 cites W2169803818 @default.
• W2021036768 cites W2172049947 @default.
• W2021036768 cites W3103786587 @default.
• W2021036768 cites W3150545440 @default.
• W2021036768 cites W4250838544 @default.
• W2021036768 cites W94041422 @default.
• W2021036768 doi "https://doi.org/10.1186/1752-0509-2-100" @default.
• W2021036768 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2607255" @default.
• W2021036768 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19032748" @default.
• W2021036768 hasPublicationYear "2008" @default.
• W2021036768 type Work @default.
• W2021036768 sameAs 2021036768 @default.
• W2021036768 citedByCount "61" @default.
• W2021036768 countsByYear W20210367682012 @default.
• W2021036768 countsByYear W20210367682013 @default.
• W2021036768 countsByYear W20210367682014 @default.
• W2021036768 countsByYear W20210367682015 @default.
• W2021036768 countsByYear W20210367682016 @default.
• W2021036768 countsByYear W20210367682017 @default.
• W2021036768 countsByYear W20210367682018 @default.
• W2021036768 countsByYear W20210367682019 @default.
• W2021036768 countsByYear W20210367682020 @default.
• W2021036768 countsByYear W20210367682021 @default.
• W2021036768 countsByYear W20210367682022 @default.
• W2021036768 countsByYear W20210367682023 @default.
• W2021036768 crossrefType "journal-article" @default.
• W2021036768 hasAuthorship W2021036768A5042433172 @default.
• W2021036768 hasAuthorship W2021036768A5061247186 @default.
• W2021036768 hasBestOaLocation W20210367681 @default.
• W2021036768 hasConcept C101810790 @default.
• W2021036768 hasConcept C104317684 @default.
• W2021036768 hasConcept C11804247 @default.
• W2021036768 hasConcept C152662350 @default.
• W2021036768 hasConcept C178790620 @default.

• next