Olympic authorities warned of potential doping loophole
Kingston University researchers have found that some teas could hide abnormal levels of testosterone in athletes. Read more
Paedophiles' online chats become sexualised within two minutes, new study says
Online paedophiles are starting highly sexualised chats with children almost straight away. Read more
A world of sustainable materials at the click of a mouse
Kingston University has unveiled an online library categorising more than 1,000 materials used in ecologically-responsible design. Read more
- Thursday 14 June 2012, 5:30pm : Social work seminar: Four days in August - what was it about young people and gangs?
- Wednesday 27 June 2012, 5pm : Kingston University Rose Lecture Series: Professor Dame Kay E. Davies: "Progress in therapy for Duchenne muscular dystrophy: a reason for optimism"
- More research events
The REF is the new system for assessing the quality of research in UK higher education institutions.
Dr Nan Greenwood
Investigating the experiences of carers
Dr Nan Greenwood is a Senior Research Fellow in the Faculty of Health and Social Care Sciences. Her background is in the social sciences. She originally worked in mental health research where her research focussed on health care satisfaction and ethnicity but more recently she has been investigating the experiences of carers.
Nan Greenwood discusses the findings of her studies on carers and the support they receive.
Predicting protein-protein interactions
PhD student Reyhaneh Esmaielbeiki is developing computational frameworks that can predict protein-protein interactions (PPIs). The interaction of proteins with other proteins, DNA, RNA and small molecules is essential for the functionality of living cells. Modifications in PPIs affect the events that take place within cells which may lead to critical diseases such as cancer. Therefore, knowledge about protein interactions can provide key information for drug design. Since experimental methods are costly and have limitations, Reyhaneh is developing a novel computational framework able to predict these interactions. Read more.
