Molecular Mechanics
Molecular Mechanics (also known as Newtonian Mechanics) is one of the simplest methods of calculating the total energy of a molecular system, by combining the attractive energy of electrostatic and non-polar interactions, with the repulsive energy of steric geometry. Its speed of calculation makes it both a good candidate for multi-scale simulations, biomolecular dynamics and as a precursor to more advanced calculations, such as Quantum Mechanical methods.
Image taken from http://www.chem.ucla.edu/c125/NIH/MolMechanics.htm
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Projects
Ab initio simulations of chemical reactions on platinum nanoparticles
Chris-Kriton Skylaris (Investigator), Alvaro Ruiz-Serrano, Peter Cherry
•Use first principles calculations to study the relationship between shape and size of nanoparticle and the oxygen adsorption energy.
• Investigate the effect of high oxygen coverage on the catalytic activity of the nanoparticles.
Computational chemistry study on the interaction mechanism of imidazolium based ionic liquid lubricants with metal surface
Ugur Mart (Investigator)
We propose a fundamental research to investigate the interaction mechanism of ionic liquids (ILs) with metal surfaces, molecular structure and organization on the surface along with chemical reactions using computational chemistry methods at molecular level.
Electrostatic embedded energy calculations of proteins, using the ONETEP DFT code
Chris-Kriton Skylaris (Investigator), Stephen Fox, Chris Pittock
Calculating the energy of a biomolecule in solvent, using quantum mechanics (QM) is possible, but extremely challenging, even with linear-scaling QM methods like ONETEP. Using electrostatic embedding, a novel twist on the existing QM/MM method is used to calculate the binding energy of a small ligand to a solvated protein, increasing the accuracy and realism of our general project work.
Hybrid quantum and classical free energy methods in computational drug optimisation
Jonathan Essex, Chris-Kriton Skylaris (Investigators), Christopher Cave-Ayland
This work is based around the application of thermodynamics and quantum mechanics to the field of computational drug design and optimisation. Through the application of these theories the calculation of the physical properties of drug-like molecules is possible and hence some predictive power for their pharmaceutical activity in vivo can be obtained.
Water Molecules in Protein Binding Sites
Jonathan Essex (Investigator), Michael Bodnarchuk
Water molecules are commonplace in protein binding sites, although the true location of them can often be hard to predict from crystallographic methods. We are developing tools which enable the location and affinity of water molecules to be found.
People
Jonathan EssexProfessor, Chemistry (FNES)
Graeme DayReader, Chemistry (FNES)
Denis KramerLecturer, Engineering Sciences (FEE)
Chris-Kriton SkylarisLecturer, Chemistry (FNES)
Ugur MartResearch Fellow, Engineering Sciences (FEE)
Michael BodnarchukPostgraduate Research Student, Chemistry (FNES)
Christopher Cave-AylandPostgraduate Research Student, Electronics and Computer Science (FPAS)
Peter CherryPostgraduate Research Student, Chemistry (FNES)
Caroline DuignanPostgraduate Research Student, Biological Sciences (FNES)
Stephen FoxPostgraduate Research Student, Chemistry (FNES)
Ric GillamsPostgraduate Research Student, Chemistry (FNES)
Lyuboslav PetrovPostgraduate Research Student, Electronics and Computer Science (FPAS)
Chris PittockPostgraduate Research Student, Chemistry (FNES)
Alvaro Ruiz-SerranoPostgraduate Research Student, Chemistry (FNES)