LIFE SCIENCES

Life Sciences

Principal Investigator: Dieter Kranzlmüller(1) and Perter V. Coveney (2) , (1) Ludwig-Maximilians-Universität, München (Germany), (2) Centre for Computational Science, University College London (UK)

HPC Platform used: SuperMUC of LRZ

Local Project ID: pr87be

Rapid and accurate calculation of binding free energies is of major concern in drug discovery and personalized medicine. A pan-European research team leveraged the computing power of LRZ’s SuperMUC system to predict the strength of macromolecular binding free energies of ligands to proteins. An in-house developed, highly automated, molecular-simulation-based free energy calculation workflow tool assisted the team in achieving optimal efficiency in its modelling and calculations, resulting in rapid, reliable, accurate and precise predictions of binding free energies.

Life Sciences

Principal Investigator: Gerald Mathias , Lehrstuhl für BioMolekulare Optik, Ludwig-Maximilians-Universität München

HPC Platform used: SuperMUC of LRZ

Local Project ID: pr89xe

Detailed knowledge about the structural and dynamical properties of biomolecules is essential for Life Sciences, from fundamental research to medical drug design. Molecular dynamics simulations are a valuable tool that complement experimental results and help to understand them. Molecular mechanics enable simulations of large systems, such as a protein in solution with several ten thousand atoms, up to a microsecond time scale. However, such simulations are by far not accurate enough for tasks like calculating infrared spectra. In contrast, high-level quantum mechanical methods like density functional theory provide the required accuracy, but are computationally limited to much smaller length and time scales.