Radius of Gyration (Rg)

Radius of Gyration (Rg)

Quantifying Compactness in Molecular Space

How tightly does your protein fold?
Does it collapse into a stable core or stretch into a more extended form under stress?

The Radius of Gyration (Rg) provides a quantitative view of molecular compactness, offering insights into how proteins fold, unfold, or respond to environmental conditions.

At code2fold, we use Rg analysis to track global shape changes and domain organization throughout simulation trajectories — helping researchers make sense of molecular behavior beyond local motions.


🔍 Why Radius of Gyration Matters

Rg reflects the mass-weighted distribution of atoms around the molecule’s center of mass.
As a global shape metric, it reveals:

  • Folding and unfolding transitions
  • Domain compaction or separation
  • Structural collapse in denaturing conditions
  • Mutation-induced expansion or contraction
  • Ligand-induced rigidification or relaxation

This makes Rg a valuable complement to RMSD and RMSF — giving a broader view of conformational evolution.


🧪 What Code2fold Provides

We compute and interpret Radius of Gyration with:

  • Frame-wise Rg calculation over simulation time
  • Time-resolved plots to detect compaction phases
  • Mutant vs wild-type Rg comparison
  • Folding state characterization
  • Correlation with solvent accessibility, RMSD, or energy metrics
  • Data overlays with major conformational events (e.g., binding, heating, mutations)

One value. Many interpretations.
We make Rg meaningful, not just measurable.


💡 Why Code2fold?

At code2fold, we don’t just extract numbers —

We reveal the structural logic behind them.

Whether you’re studying protein folding, misfolding, complex formation, or environmental effects, our Rg analysis helps contextualize what your simulation data is truly saying about molecular architecture.

We bridge structure, motion, and biophysical interpretation — so you can focus on the science that matters.


📩 Track Your Protein’s Shape with Confidence

Interested in how compact your system really is?
Let’s calculate, visualize, and interpret it together.

📧 [email protected]
📲 @code2fold on Instagram