p38α is considered as the key isoform involved in modulating inflammatory response in rheumatoid arthritis and inflammatory pain and is therefore a key target for compound screening in pharmaceutical industry. In this study we demonstrate the use of Microscale Thermophoresis to perform an essentially label-free measurements of small molecule binding to protein targets by using a competitive app...

As biomedical literature continues to grow at an explosive rate, researchers are unable to process the vast amounts of information generated by one another. In order to account for this, text mining and information extraction systems have been developed in order to help researchers find information that is relevant to their respective research. However, text mining systems have also been develo...

Mimetics of secondary structure elements are one promising approach in the design of protein-protein interaction inhibitors, since secondary structure elements are very important recognition motifs in protein-protein interfaces. In helices and turns, the protein backbone provides a scaffold to present the sidechains in the correct orientation for the three-dimensional interaction motif. For bot...

Due to the enormous accumulation of experimental data and the increasing need for combining heterogeneous data sources, the field of systems biology yields novel and very interesting problems in data analysis. The development of high-throughput technologies has opened the possibility to study the behavior of many cellular components simultaneously. Therefore, there is an increasing interest and...

Accurate systems for extracting ProteinProtein Interactions (PPIs) automatically from biomedical articles can help accelerate biomedical research. Biomedical Informatics researchers are collaborating to provide metaservices and advance the state-of-art in PPI extraction. One problem often neglected by current Natural Language Processing systems is the characteristic complexity of the sentences ...

We propose a new hybrid data mining method for predicting proteinprotein interactions combining Likelihood-Ratio with rule induction algorithms. In essence, the new method consists of using a rule induction algorithm to discover rules representing partitions of the data, and then the discovered rules are interpreted as “bins” which are used to compute likelihood ratios. This new method is appli...

External and internal stimuli trigger the response of signals in the cell which amplified and communicated by various complex signal transduction networks are mostly initiated with the activation of different receptor proteins. These signaling networks perform as protective strategy to allow cells to cope with external stresses that usually restrain the plant growth and development. Protein kin...

Proteins interact with other proteins within biological pathways, forming connected subgraphs in the protein-protein interactome (PPI). However, proteins are often involved in multiple biological pathways which complicates inference about interactions between proteins. Gene expression data is informative here since genes within a particular pathway tend to have more correlated expression patter...