In structure-based drug design, computational modelling techniques are frequently used to predict the orientation and affinity with which a ligand binds to its protein receptor.
Applications are invited for a PhD studentship starting from September 2019 in Dr. Arianna Fornili’s group at Queen Mary University of London and in collaboration with Dr.
14-3-3 proteins play key role in the neurobiochemistry of brain and are also associated with neurodegenerative amyloid diseases such as Alzheimer and Parkinson disease.
We are looking for a motivated PhD student that would like to work on the following project funded by the ERC (European Research Council) Starting grant.
Intellectual Property Rights (IPR) data can shape (present and future) investment decisions in R&D, protect companies freedom to operate, assess the value…
This four year PhD research project, due to start in October 2019, is a collaboration between University College London and UCB pharma, a global biopharmaceutical company (www.ucb.com).
In the past years the use of virtual screening or computer-based screening of compound libraries against selected targets has expanded exponentially the boundaries of drug discovery.
Background – Enzyme engineering strategies, supported by computational and molecular modelling to maximise speed and efficiency, has been shown to be a powerful tool for (semi-) rational design of enzymes.1,2 We will evaluate protein mobility/dynamics, docking/binding of substrates and calculation of free energy barriers for catalysis.
