This article gives an overview of recent progress in protein-protein docking and it identifies several directions for future research. Recent results from the CAPRI blind docking experiments show that docking algorithms are steadily improving in both reliability and accuracy. Current docking algorithms employ a range of efficient search and scoring strategies, including e.g. fast Fourier transf...

A novel intelligent neural optimizer with two objective functions is designed for electrical distribution systems. The presented method is faster than alternative optimization methods and is comparable with the most powerful and precise ones. This optimizer is much smaller than similar neural systems. In this work, two intelligent estimators are designed, a load flow program is coded, and a spe...

In order to fully understand protein kinase networks, new methods are needed to identify regulators and substrates of kinases, especially for weakly expressed proteins. Here we have developed a hybrid computational search algorithm that combines machine learning and expert knowledge to identify kinase docking sites, and used this algorithm to search the human genome for novel MAP kinase substra...

Person search is the problem of finding, by means of keyword search, relevant people in a social network. In egocentric person search, the search query is issued by a person s participating in the social network, and the goal is to find people that possess two qualities: relevancy to the query, and relevancy to s herself. This position paper considers the latter quality, and specifically, scori...

analyzing free riding problem through static games considering homogenous players has been resulted in choosing the free riding strategy as a dominant strategy for the players. in this paper free riding is analyzed through cooperation game imposing non-homogenous players using network models. players would be differentiated by their links with their neighbors in the game. evolutionary game theo...