Multiscale Simulation Service - Neorabio

Technical Services

NEORABIO

Technical Services

Multiscale Simulation Service - Neorabio
Multiscale Simulation Service - Neorabio
Neorabio provides multiscale simulation services for research programs that require simultaneous access to electronic accuracy, atomistic resolution, and mesoscale dynamics. Multiscale strategies—motivated by early theoretical frameworks such as those highlighted by Warshel et al. (2007)—demonstrate how biological function often emerges from interactions that span multiple scales. Guided by this principle, Neorabio designs simulation workflows that connect quantum-level events with large-scale structural processes, ensuring that each project receives a clear, mechanistically grounded interpretation.

About Service

Our approach combines Quantum Mechanics (QM), Molecular Dynamics (MD), Coarse-Grained (CG) models, and Brownian Dynamics (BD), enabling consistent examination of processes ranging from electronic rearrangements to collective conformational motions. Hierarchical modeling strategies, including those discussed by Ayton and Voth (2009), emphasize the need for careful integration across these resolutions. With Neorabio's high-performance computing environment and validated cross-scale protocols, simulations can be tailored to address systems with different sizes, timescales, and mechanistic questions.

Key Advantages

● Coordinated QM → MD → CG → BD workflow: Each scale informs the next, ensuring continuity in physical interpretation.
● Efficient treatment of large biological assemblies: CG and BD models extend simulation reach without losing essential structural features.
● Mechanistic clarity across scales: Captures transitions, domain motions, and energetic events that cannot be seen with a single-resolution method.
● Custom project design: Simulation choices, resolution levels, and coupling methods are selected based on system type and research goals.
● Documented and validated workflows: Cross-scale transformations, parameter mappings, and QC procedures are fully traceable.

Applications

● Target and mechanism studies: Exploring binding, functional motions, and dynamic organization within large biomolecular complexes.
● Conformational sampling of large systems: Assessing domain movements, assembly stability, and long-timescale transitions.
● Nanomaterial and biomolecule interaction modeling: Evaluating adsorption, penetration, and structural reorganization at interfaces.
● Membrane process simulations: Investigating fusion, transport, clustering, or curvature formation at mesoscopic scales.
● Multi-resolution modeling of assemblies: Supporting structural biology, protein design, and synthetic biology projects.

Workflow

Define Simulation System and Research Objectives → System Construction and Molecular Modeling → Select Simulation Scales and Methods → Perform Multiscale Simulations (e.g., QM/MM, CG, MD) → Trajectory Analysis and Energy Calculations → Result Interpretation and Report Delivery

References

1.Warshel A., et al. Multiscale modeling of biological functions: from enzymes to molecular machines. Annual Review of Biophysics. 2007;36:247–270. doi:10.1146/annurev.biophys.36.040306.132643
2.Ayton G.S., Voth G.A. Multiscale simulation of biomolecular systems. Current Opinion in Structural Biology. 2009;19(2):138–144. doi:10.1016/j.sbi.2009.03.003
3.Dror R.O., et al. Biomolecular simulation: a computational microscope for molecular biology. Annual Review of Biophysics. 2012;41:429–452. doi:10.1146/annurev-biophys-042910-155245
4.Klein M.L., Shinoda W. Large-scale molecular dynamics simulations of self-assembling systems. Science. 2008;321(5890):798–800. doi:10.1126/science.1157834

Inquiry Center

Neorabio's multiscale modeling team works across structural biology, computational chemistry, and biophysics, providing simulation strategies that match the scale and complexity of each project. Whether the system involves enzymatic mechanisms, flexible protein complexes, or membrane-associated assemblies, the team evaluates resolution choices, mapping schemes, and equilibration requirements before simulations begin. Final deliverables include cross-scale trajectories, mechanistic hypotheses, energy summaries, interaction profiles, and interpretable visualizations designed to support downstream design or experimental decisions. Neorabio ensures that results are both scientifically grounded and actionable for discovery programs.
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