DNA-binding proteins are fundamentally important in understanding cellular processes. Thus, the identification of DNA-binding proteins has the particularly important practical application in various fields, such as drug design. We have proposed a novel approach method for predicting DNA-binding proteins using only sequence information. The prediction model developed in this study is constructed by support vector machine-sequential minimal optimization (SVM-SMO) algorithm in conjunction with a hybrid feature. The hybrid feature is incorporating evolutionary information feature, physicochemical property feature, and two novel attributes. These two attributes use DNA-binding residues and nonbinding residues in a query protein to obtain DNA-binding propensity and nonbinding propensity. The results demonstrate that our SVM-SMO model achieves 0.67 Matthew's correlation coefficient (MCC) and 89.6% overall accuracy with 88.4% sensitivity and 90.8% specificity, respectively. Performance comparisons on various features indicate that two novel attributes contribute to the performance improvement. In addition, our SVM-SMO model achieves the best performance than state-of-the-art methods on independent test dataset.
The concept of ubiquitous and scalable system is applied in the IST WINNER II [1] project to deliver optimum performance for different deployment scenarios from local area to wide area wireless networks. The integration of cellular and local area networks in a unique radio system will provide a great advantage to final users and operators, compared with the nowadays situation with many disconnected systems and users equipped with different subscriptions, radio interfaces and terminals. To this issue, the IST project WINNER II has defined three system modes suited to local, metropolitan and wide area respectively. The aim of this paper is twofold: first, it presents an architectural solution for scalable and hybrid radio resource management to efficiently integrate the different WINNER modes; second, it proposes a hybrid handover mechanism to exploit the availability of the different modes in the WINNER system.
Ad hoc networks are particularly vulnerable as compare to traditional networks mainly due to their lack of infrastructure. A malicious node can easily disrupt both the routing discovery phase and the data forwarding phase of a routing protocol if it is not secured enough. This paper proposes a new secure reactive routing protocol named TRP (Trust-based Routing Protocol) that relies on a distributed trust model managing trust levels. The model provides an estimation of trust level to each route to help a source node to chose the most secure one. Our security mechanism is protected and does not affect significantly the network performance.
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