Predicting metabolic pathway of protein interactions is still a challenging task

Cellular activity is subject to physical property and function of several proteins which are involved in a variety of biological pathways. By practicality of genome sequencing and high-throughput experimental data, researchers can make use of a variety of computer technologies and recombinant proteins such as recombinant rat proteins to identify the interaction among whole-genome proteins. The comparative assessment technologies of predicting protein-protein interactions have frequent reports in the literature, but they still have no ability to explain a specific biological pathway.

Methods: In order to learn the ability of predicting the interaction among proteins in specific biological pathways, our report is based on analysis of biological pathways of fourteen E. coli cataloged in KEGG database. The database uses the prediction method of protein function link. These methods are simple phylogenetic appearance surgery (phylogenetic profile), adjacent to the gene, ortholog coexist in the same gene cluster, a mirrortree variants and expression similarity.

Conclusion: Our results show that the predicting metabolic pathway of protein interactions is still a challenging task, and some of the methods may reflect the flexible / independent evolutionary history of proteins. These methods have forecasted that function-related proteins involving amino acids, nucleotides, polysaccharides, vitamins and coenzymes family pathway is superior than the random mechanism related to carbohydrates, lipids and energy metabolism. We also conducted similar observation on the interaction among proteins which is associated with environmental information processing.

On the contrary, genetic information processing and special processes which happen in the subset of organisms and are related to sporty proteins link are predicted with relatively-high accuracy. Given the racial pattern as a good enough method to reconstruct the central dogma of protein-protein interactions between the pathways, metabolic pathways are most easily to be predicted using orthologous group neighboring. If not based on a specific pathway, then the similarity method of gene expression is the best choice. Flarebio provides you with good-quality recombinant proteins including recombinant App at good prices.