01 — Challenges

Challenges we solve

Common obstacles researchers face and how ProteinIQ addresses them.

Simulate protein conformational dynamics
Study protein-ligand interaction stability
Analyze trajectory data and binding events
Validate structural predictions with dynamics

02 — Workflow

How it works

A streamlined workflow from input to results.

1

Upload Structure

Provide starting PDB structure for simulation

2

System Setup

Automated solvation, ionization, and minimization

3

Run Simulation

Execute MD on cloud GPUs with progress tracking

4

Analyze Trajectory

Visualize dynamics, compute RMSD/RMSF, export data

03 — Comparison

Traditional methods vs. ProteinIQ

See how we compare to traditional computational approaches.

AspectTraditionalProteinIQ
InfrastructureDedicated GPU cluster requiredOn-demand cloud GPUs
System preparationManual scripting for setupAutomated preparation pipeline
Analysis toolsCommand-line tools, custom scriptsIntegrated visualization and analysis
Cost modelFixed infrastructure costsPay only for simulation time

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