Abstract：
:Proteins physically interact with each other and form protein complexes to perform their biological functions. The prediction of protein complexes from protein-protein interaction (PPI) network is usually difficult when the complexes are overlapping with each other in a dense region of the network. To address the problem of predicting overlapping complexes, a previously proposed network-decomposition approach is promising. It decomposes a PPI network by e.g. removing proteins with high degree (hubs) which may participate in different complexes. This motivates us to examine a list of proteins, which bind their different partners at different time or at different location (viz. date hubs), manually collected from literature, for network decomposition. Results show that the CMC complex discovery algorithm after removing date hubs recalls more overlapping complexes that were missed earlier. Further improvement in performance is achieved when we predict date hub proteins based on simple network features and remove them from PPI networks.
journal_name
Comput Biol Chemjournal_title
Computational biology and chemistryauthors
Pyrogova I,Wong Ldoi
10.1016/j.compbiolchem.2018.03.012subject
Has Abstractpub_date
2018-06-01 00:00:00pages
407-419eissn
1476-9271issn
1476-928Xpii
S1476-9271(18)30144-0journal_volume
74pub_type
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