Public release of performance data in changing the behaviour of healthcare consumers, professionals or organisations.

Background: It is becoming increasingly common to release information about the performance of hospitals, health professionals or providers, and healthcare organisations into the public domain. However, we do not know how this information is used and to what extent such reporting leads to quality improvement by changing the behaviour of healthcare consumers, providers and purchasers, or to what extent the performance of professionals and providers can be affected.

Objectives: To determine the effectiveness of the public release of performance data in changing the behaviour of healthcare consumers, professionals and organisations.

ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs.

Background: G-protein coupled receptors (GPCRs) are involved in many different physiological processes and their function can be modulated by small molecules which bind in the transmembrane (TM) domain. Because of their structural and sequence conservation, the TM domains are often used in bioinformatics approaches to first create a multiple sequence alignment (MSA) and subsequently identify ligand binding positions. So far methods have been developed to predict the common ligand binding residue positions for class A GPCRs.