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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.
Therefore, predicting PPIs related to protein complexes based on protein interaction networks is significant for detecting the protein complexes.
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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.
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based on protein signature
based on protein abundance
based on protein restriction
based on protein alignment
based on contact interaction
based on protein level
based on protein motif
based on protein migration
based on protein structure
based on protein concentration
based on protein similarity
based on user interaction
based on protein probability
based on protein engineering
based on protein expression
based on protein precipitation
based on peer interaction
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