Inferring high-confidence human protein-protein interactions

Discovering Domains Mediating Protein Interactions

Background: Protein-protein interactions do not provide any direct information re‌garding the domains within the proteins that mediate the interactions. The majority of proteins are multi domain proteins and the interaction between them is often defined by the pairs of their domains. Most of the former studies focus only on interacting do‌main pairs. However they do not consider the in...

Inferring Strengths of Protein-Protein Interactions Using Linear Programming

Several computational methods have been proposed for inference of protein-protein interactions. Most of the existing methods assume that protein-protein interaction data are given as binary data (i.e., whether or not each protein pair interacts). However, multiple biological experiments are performed for the same protein pairs and thus the ratio (strength) of the number of observed interactions...

Inferring interactions from combinatorial protein libraries

Proteins created by combinatorial methods in vitro are an important source of information for understanding sequence-structure-function relationships. Alignments of folded proteins from combinatorial libraries can be analyzed using methods developed for naturally occurring proteins, but this neglects the information contained in the unfolded sequences of the library. We introduce two algorithms...

Inferring Protein-Protein Interactions (PPIs) Based on Computational Methods

Inferring Strengths of Protein-Protein Interactions Using Support Vector Regression

Protein-protein interactions (PPIs) play various important roles in living organisms. Hence, many efforts have been made to investigate and predict PPIs. Analysis of strengths of PPIs is important as well as PPIs because such strengths are involved in functionality of proteins. In this paper, we propose several feature space mappings from protein pairs, which make use of protein domain informat...