Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Recent advances in high-throughput experimental techniques have yielded a large amount of data on protein–protein interactions (PPIs). Since these interactions can be organized into networks, and since separate PPI networks can be constructed for different species, a natural research direction is the comparative analysis of such networks across species in order to detect conserved functional modules. This is the task of network alignment.#R##N##R##N#Results: Most conventional network alignment algorithms adopt a node-then-edge-alignment paradigm: they first identify homologous proteins across networks and then consider interactions among them to construct network alignments. In this study,  propose an alternative direct-edge-alignment paradigm. Specifically, instead of explicit identification of homologous proteins,  directly infer plausibly alignable PPIs across species by comparing conservation of their constituent domain interactions.  apply our approach to detect conserved protein complexes in yeast–fly and yeast–worm PPI networks, and show that our approach outperforms two recent approaches in most alignment performance metrics.#R##N##R##N#Availability: Supplementary material and source code can be found at http://www.cs.duke.edu/~amink/.#R##N##R##N#Contact: xinguo@cs.duke.edu
['Xin Guo', 'Alexander J. Hartemink']
I am writing a research paper on a idea Domain-oriented edge-based alignment of protein interaction networks
[{"from": "human", "value": "I am writing a research paper on a idea Domain-oriented edge-based alignment of protein interaction networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Recent advances in high-throughput experimental techniques have yielded a large amount of data on protein\u2013protein interactions (PPIs). Since these interactions can be organized into networks, and since separate PPI networks can be constructed for different species, a natural research direction is the comparative analysis of such networks across species in order to detect conserved functional modules. This is the task of network alignment.#R##N##R##N#Results: Most conventional network alignment algorithms adopt a node-then-edge-alignment paradigm: they first identify homologous proteins across networks and then consider interactions among them to construct network alignments. In this study,  propose an alternative direct-edge-alignment paradigm. Specifically, instead of explicit identification of homologous proteins,  directly infer plausibly alignable PPIs across species by comparing conservation of their constituent domain interactions.  apply our approach to detect conserved protein complexes in yeast\u2013fly and yeast\u2013worm PPI networks, and show that our approach outperforms two recent approaches in most alignment performance metrics.#R##N##R##N#Availability: Supplementary material and source code can be found at http://www.cs.duke.edu/~amink/.#R##N##R##N#Contact: xinguo@cs.duke.edu"}]