Publication-quality analysis tools for MD trajectories, docking results, and DFT outputs — RMSD, RMSF, SASA, Rg plots, free energy landscapes, DCCM, PCA, and binding site analysis.
Our analysis platform transforms raw simulation data into publication-ready figures and tables. The suite covers the full spectrum of computational biology analysis — from basic trajectory metrics to advanced statistical methods and 3D visualizations.
All tools generate matplotlib-based high-resolution plots exportable in PNG, PDF, and SVG formats. The modern PySide6 interfaces provide interactive controls for legend editing, color schemes, axis customization, and multi-dataset overlay.
Comprehensive analysis capabilities across all simulation workflows
Root Mean Square Deviation — structural stability over time
Root Mean Square Fluctuation — per-residue flexibility
Solvent Accessible Surface Area — solvent exposure
Radius of Gyration — compactness of protein structure
Hydrogen bond analysis — intermolecular interactions
Free Energy Landscape — conformational energy minima in 3D
Dynamic Cross-Correlation Matrix — correlated motions
Principal Component Analysis — essential dynamics
Four integrated analysis modules in the web platform
Publication-ready outputs generated by the analysis platform
Root Mean Square Deviation over simulation time — protein backbone stability assessment
FEL surface with mesh, contour projection, and energy minima showing conformational sampling
Residue-residue dynamic cross-correlation with customizable color scale
Time-resolved PCA scatter plot showing conformational sampling colored by free energy
Binding free energy components: ΔGvdW, ΔGelec, ΔGsolv, and total ΔGbind
Per-residue MM-GBSA energy contributions — identifies key binding residues at a glance
Root Mean Square Fluctuation per residue — identifies flexible loops and rigid domains
Watch a complete analysis workflow
From raw trajectory data to publication-ready figures — Coming soon
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