Assessing protein mass spectrometry data using Percolator – how to weed out valuable information from the noise
Mass spectrometry (MS) is currently the most effective way to analyze protein on a large scale, and hence one of the most important tools for answering those questions. There are still however difficult challenges in analysing the wealth of data MS-based experiments produce.
D1R-Golf signaling modules segregate into compartments
The development of a large signaling model that takes into consideration the existence of at least two D1R-Golf signaling compartments explains the data pattern.
Improved model quality assessment using deep neural networks
Protein structure modeling is crucial for a detailed understanding of the biological function at the molecular level (Wallner&Elofsson, 2003; Wang et al, 2009). In 2003 we developed the first single-model quality estimation program…
Protein structure prediction — state-of-the-art methods proven in contests
SeRC faculty Björn Wallner and Arne Elofsson are experts on protein structure predictions and have developed several tools for prediction and assessment of protein structure models. Their web service Pcons.net is a popular and important tool…