Sequence-based prediction of protein-protein interactions by means of codon usage
Hamed Shateri Najafabadi1, Reza Salavati
1Institute of Parasitology, McGill University, Lakeshore Road, Ste, Anne de Bellevue, Montreal, Quebec H9X 3V9, Canada. hamed.shaterinajafabadi@mail.mcgill.ca
Abstract:
We introduce a novel approach to predict interaction of two proteins solely by analyzing their coding sequences. We found that similarity in codon usage is a strong predictor of protein-protein interactions and, for high specificity values, is as sensitive as the most powerful current prediction methods. Furthermore, combining codon usage with other predictors results in a 75% increase in sensitivity at a precision of 50%, compared to prediction without considering codon usage.
Related Concept Videos
Protein-protein Interfaces
Protein-Protein Interfaces
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Signal Sequences and Sorting Receptors
Conservation of Protein Domains Over Different Proteins
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...


