The Biochemical and Biophysical Systems Group’s scientists use cutting-edge, multi-scale, in silico simulations to tackle problems in biology. We use a wide range of computational biology methods that employ LLNL’s high-performance computing resources to simulate systems from sub-atomic scale to population level. These methods include atomistic and coarse-grained molecular dynamics, quantum simulations, constraint-based genome-scale simulations, reaction-transport dynamic simulations, and agent-based, whole-organ, and pharmacokinetics/pharmacodynamics models. We develop new computational methods to describe and predict biological systems. In addition, we combine experimental efforts with physics-based simulations and statistical and machine-learning models to accelerate the design and development of safe and effective therapeutics. Overall, we seek predictive understanding of protein-mediated processes related to critical missions of LLNL, including bioenergy, medical countermeasures, and new materials.