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Our proposed method was based on protein interactions, which are defined independently from previous clinical classifications.
These results are highly suggestive of convergent molecular mechanisms based on protein interactions independently selected during the evolution of viruses.
Given the significant importance of PINs, proteome-wide interaction networks based on protein interactions has been constructed for many organisms [ 5- 7].
In our approach, when two genes are connected, the gene vectors are constructed based on protein interactions with the other neighboring genes.
First, we introduce a framework to construct functional similarity protein complex networks where two protein complexes are functionally connected by either shared protein elements, shared annotating GO terms or based on protein interactions between elements in each protein complex.
This prediction is firmly based on protein interactions (the latent variable for the group of protein interactions has a probability of 0.99) with the nucleolar GTP-binding protein 1 (NOG1) and the FHA domain-interacting nucleolar phosphoprotein MKI67.
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Recently some various network-based approaches [ 4- 8] based on protein interaction networks have obtained much better performance than traditional statistical approaches only based on the gene expression values.
Targeted mechanism-based methods identify unknown mechanisms of drug action by combining information based on protein interaction networks, signalling pathways, and treatment omics data.
We adapt a strategy from disease gene discovery that is based on protein interaction, network centrality and functional similarity to receptors that are known to interact with HIV.
We conducted pathway analysis using Ingenuity System and constructed the first schizophrenia molecular network (SMN) based on protein interaction networks, pathways and literature survey.
In summary, the network approach presented in this work is really effective for predicting pathogenic genes of F. graminearum based on protein interaction network and gene expression data.
More suggestions(14)
based on charge interactions
based on chemical interactions
based on protein motifs
based on protein diagnostics
based on pairwise interactions
based on consensus interactions
based on protein features
based on protein families
based on protein levels
based on protein spots
based on family interactions
based on protein profiles
based on protein domains
based on protein data
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