What do you know about computational protein-protein interaction? Explain computational predication methods that is used in Protein-protein interaction studies?
Answers
Answer:
Protein–protein interactions (PPIs) are of interest in biology because they regulate roughly all cellular processes, including metabolic cycles, DNA transcription and replication, different signaling cascades and many additional processes. Proteins carry out their cellular functions through concerted interactions with other proteins, so it is important to know the specific nature of these relationships. Indeed, the importance of understanding these interactions has prompted the development of various experimental methods used in measuring them. While the amount of genomic sequence information continues to increase exponentially, the annotation of protein sequences appears to be somewhat lagging behind, both in terms of quality and quantity. Multi-pronged, high-throughput functional genomics approaches are needed to bridge the gap between raw sequence information and the relevant biochemical and medical information. Therefore, computational methods are required for discovering interactions that are not accessible to high throughput methods. These computational predictions can then be verified by using more labor-intensive methods. A number of computational approaches for protein interaction discovery have been developed over recent years. These methods differ in feature information used for protein interaction prediction. Many studies have demonstrated that knowing the tools and being familiar with the databases is important for new research in protein-protein interaction analysis to be conducted
The scope of this review focuses on describing these resources.
Answer:
Protein-protein interactions play a central role in numerous processes in cell and are one of the main research fields in current functional proteomics. The increase of finished genomic sequences has greatly stimulated the progress for detecting the functions of the genes and their encoded proteins. As complementary ways to the high through-put experimental methods, various methods of bioinformatics have been developed for the study of the protein-protein interaction. These methods range from the sequence homology-based to the genomic-context based. Recently, it tends to integrate the data from different methods to build the protein-protein interaction network, and to predict the protein function from the analysis of the network structure. Efforts are ongoing to improve these methods and to search for novel aspects in genomes that could be exploited for function prediction. This review highlights the recent advances of the bioinformatics methods in protein-protein interaction researches. In the end, the application of the protein-protein interaction has also been discussed.
Hope it helps you