The prediction of protein 3D structure has become a hot research area in the post-genome era, through which people can understand a protein’s function in health and disease, exp...
Wenlong Li, Tao Wang, Eric Li, D. Baker, Li Jin, S...
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
In highly interactive multimedia applications startup latency is significant, and may negatively impact performance and Quality of Service (QoS). To avoid this, our approach is t...
Matthias Friedrich, Silvia Hollfelder, Karl Aberer
In this paper, we illustrate an application aimed at predicting protein secondary structure. The proposed system has been devised using PACMAS, a generic architecture designed to s...
Background: The prediction of protein-protein interactions is an important step toward the elucidation of protein functions and the understanding of the molecular mechanisms insid...
Martial Hue, Michael Riffle, Jean-Philippe Vert, W...