Gene prioritization based on background knowledge mined from literature has become an important method for the analysis of results from high-throughput experimental assays such as gene expression microarrays, RNAi screens and genomewide association studies. We apply our gene mention identifier, which achieved the best ...

In the last years, Single Molecule Force Spectroscopy was more and more used to gain insight into the fundamental principles behind protein structure and stability. Nevertheless, the interpretation of the experimental findings is not so easy and additional computational approaches are needed to interpret them. Here, we ...

Currently much research is devoted to the characterization and classification of transient and permanent protein-protein interactions. From the literature, we take data sets consisting of 161 permanent (65 homodimers, 96 heterodimers) and 242 transient interactions. We collect over 300 interface attributes relating to ...

Motivation. Computational methods to predict protein-protein interactions are of great need. They can help to formulate hypotheses, guide experimental research and serve as additional measures to assess the quality of data obtained in high-throughput interaction experiments. Here, we describe a fully automated threestep ...

The biomedical literature grows at a tremendous rate, so that finding the relevant literature is becoming more and more difficult. To address this problem we introduce ontology-based literature search, which structures search results thorugh the categories of an ontology. We develop and implement GoP- ubMed, which submits ...

Protein-protein interactions are fundamental as many proteins mediate their biological function through protein interactions. Over the past 20 years there have been many computational approaches to dock proteins. These approaches are mostly based on the shape complementarity of structures and the physio-chemical properties ...