I want to know various methods/techniques of Bioinformatics by which we can predict the protein-protein interactions. What are the major in-silico approaches to know the PPIs? How can the computational methods be used to know such interactions?
i found that the kernel method for predicting protein–protein interactions using a combination of data sources, including protein sequences, Gene Ontology annotations, local properties of the network, and homologous interactions
in other species. Whereas protein kernels proposed in the literature provide a similarity between single proteins, prediction of interactions requires a kernel between pairs of proteins.
also the another method is general computational techniques for predicting protein–protein interactions could be of significant value for predicting . One approach to predicting interactions in silico is to produce from first principles a detailed model of a candidate interaction. you can take an alternative approach by employing a relatively simple model that learns dynamically from a large collection of data.
i have attached the paper relating to kernel method for predicting protein–protein interactions
There are several methods and you need to select/develop the method based on your research/application aspect. Recently we have published a paper on PPI for target identification. You can check here: http://pubs.rsc.org/en/content/articlelanding/2012/IB/C2IB20206A
Thank you all for your responses. I found a number of research articles for PPIs using computational approaches e.g kernel methods, Alignment based, Structure-based protein complexes, Bayesian network based studies & others. Thanks for suggesting these articles.
- Badges
- Science topic
- Similar topics
- Computer Science and Engineering
- Bioinformatics