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Design Principles

The system is built around a few core principles.

Biological interpretability

Every component maps back to biochemical meaning.

  • EC50 reflects sensitivity
  • Δmax reflects effect size
  • NSS integrates meaningful signals

Robustness

The pipeline is designed for noisy experimental data.

  • Monotonic smoothing
  • Robust scaling
  • Conservative filtering

Multi-scale integration

The system connects:

  • molecular level (sequence)
  • protein level (dose–response)
  • system level (pathways, networks)
  • latent structure (hidden patterns)

Efficiency

  • Parallel processing
  • Caching at multiple levels
  • Modular design

Extensibility

The architecture allows extension at:

  • modeling layer
  • scoring functions
  • network inference
  • sequence models

These principles ensure the system is both practical and scientifically grounded.