Researchers at the San Diego Supercomputer Center at the University of California, San Diego, have developed software that greatly expands the types of multi-scale QM/MM (mixed quantum and molecular mechanical) simulations of complex chemical systems that scientists can use to design new drugs, better chemicals, or improved enzymes for biofuels production.
A paper outlining the research, titled ‘An Extensible Interface for QM/MM Molecular Dynamics Simulations with AMBER’ and conducted by members of the Walker Molecular Dynamics Lab (WMD) at SDSC, was featured on the cover of the January 15th issue of the Journal of Computational Chemistry.
Multi-scale QM/MM computational methods are crucial to advancing the understanding and solution to problems in the chemical sciences, ranging from drug design to renewable energies. This has been recognized with the award of the 2013 Nobel Prize in chemistry for the development of multi-scale models of complex chemical systems.
In QM/MM simulations, an accurate but computationally complex and thus time-consuming quantum mechanical model is used to identify important features of the electronic structure of a chemically relevant region. This is required, for example, to describe photo-physical processes or chemical reactions in the active site of enzymes. Effects of the surrounding environment are then included with a computationally less complex classical MM model.
“QM/MM simulations are computationally very demanding compared to purely classical MM simulations,” said Ross C. Walker, an SDSC research professor and adjunct associate professor in UC San Diego's Department of Chemistry and Biochemistry. “Access to SDSC's Trestles and Gordon supercomputers and their fast turnaround times were essential to our work. We ran a large amount of jobs to test and validate our implementation at various stages, as well as a large-scale simulation to demonstrate a practical application.”
“Our software enables QM/MM simulations with a variety of advanced quantum mechanical models, and by integrating it with the popular AMBER molecular simulation package, which is used by hundreds of academic and industrial research labs, we can reach a very large user base”, said lead author Andreas W. Goetz, a research scientist with SDSC and expert in multi-scale modeling. “We’re looking forward to many exciting applications that will help scientists in computational chemistry and biophysics understand and predict the behavior of molecular systems at a fundamental level.”
Authors of the new study include SDSC's Goetz and Walker as well as Matthew A. Clark, who developed part of the software during his internship with Walker and Goetz, as part of SDSC’s Research Experience for High School Students (REHS) program and later as an undergraduate research intern in the WMD lab.
Media ContactJan Zverina, 858-534-5111, email@example.com
Jan Zverina | EurekAlert!
Gold nanoclusters: new frontier for developing medication for treatment of Alzheimer's disease
17.02.2020 | Science China Press
Catalyst deposition on fragile chips
17.02.2020 | Ruhr-University Bochum
Most natural and artificial surfaces are rough: metals and even glasses that appear smooth to the naked eye can look like jagged mountain ranges under the microscope. There is currently no uniform theory about the origin of this roughness despite it being observed on all scales, from the atomic to the tectonic. Scientists suspect that the rough surface is formed by irreversible plastic deformation that occurs in many processes of mechanical machining of components such as milling.
Prof. Dr. Lars Pastewka from the Simulation group at the Department of Microsystems Engineering at the University of Freiburg and his team have simulated such...
Investigation of the temperature dependence of the skyrmion Hall effect reveals further insights into possible new data storage devices
The joint research project of Johannes Gutenberg University Mainz (JGU) and the Massachusetts Institute of Technology (MIT) that had previously demonstrated...
Researchers at Chalmers University of Technology, Sweden, recently completed a 5-year research project looking at how to make fibre optic communications systems more energy efficient. Among their proposals are smart, error-correcting data chip circuits, which they refined to be 10 times less energy consumptive. The project has yielded several scientific articles, in publications including Nature Communications.
Streaming films and music, scrolling through social media, and using cloud-based storage services are everyday activities now.
After helping develop a new approach for organic synthesis -- carbon-hydrogen functionalization -- scientists at Emory University are now showing how this approach may apply to drug discovery. Nature Catalysis published their most recent work -- a streamlined process for making a three-dimensional scaffold of keen interest to the pharmaceutical industry.
"Our tools open up whole new chemical space for potential drug targets," says Huw Davies, Emory professor of organic chemistry and senior author of the paper.
Superconductivity approaching room temperature may be possible in hydrogen-rich compounds at much lower pressures than previously expected
Reaching room-temperature superconductivity is one of the biggest dreams in physics. Its discovery would bring a technological revolution by providing...
12.02.2020 | Event News
16.01.2020 | Event News
15.01.2020 | Event News
17.02.2020 | Life Sciences
17.02.2020 | Information Technology
17.02.2020 | Life Sciences