The transport of the molecules inside cells is a very important topic, especially in Drug Metabolism. The experimental testing of the new proteins for the transporter molecular function is expensive and inefficient due to the large amount of new peptides. Therefore, there is a need for cheap and fast theoretical models to predict the transporter proteins. In the current work, the primary structure of a protein is represented as a molecular Star graph, characterized by a series of topological indices. The dataset was made up of 2,503 protein chains, out of which 413 have transporter molecular function and 2,090 have no transporter function. These indices were used as input to several classification techniques to find the best Quantitative Structure Activity Relationship (QSAR) model that can evaluate the transporter function of a new protein chain. Among several feature selection techniques, the Support Vector Machine Recursive Feature Elimination allows us to obtain a classification model based on 20 attributes with a true positive rate of 83% and a false positive rate of 16.7%.
Despite the widespread proliferation of social media in policy and politics, televised election debates are still a prominent form of large-scale public engagement between politicians and the electorate during election campaigns. Advanced visual interfaces can improve these important spaces of democratic engagement. In this paper, we present a user study in which a new hypervideo technology was compared with a publicly available interface for television replay. The results show that hypervideo navigation, coupled with interactive visualisations, improved sensemaking of televised political debates and promoted people's attitude to challenging personal assumptions. This finding suggests that hypervideo interfaces can play a substantial role in supporting citizens in the complex sensemaking process of informing their political choices during an election campaign, and can be used as instruments to promote critical thinking and political opinion shifting.
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