CETSAx–NADPH¶

CETSAx–NADPH is a computational framework for analyzing protein stability responses to NADPH using CETSA data. It combines biophysical modeling, statistical scoring, systems-level analysis, and sequence-based learning into a single pipeline.

At its core, the system answers three questions:

Which proteins respond to NADPH?
How strong and reliable is that response?
Why do these responses occur at the molecular and sequence level?

The pipeline moves from raw dose–response measurements to interpretable biological insights across multiple scales.

What makes this system different¶

It prioritizes biophysical interpretability, not just statistical fit.
It integrates protein-level, pathway-level, and sequence-level signals.
It includes explainable AI, allowing residue-level interpretation of predictions.

High-level workflow¶

Curve fitting of CETSA dose–response data
Sensitivity scoring across the proteome
Pathway and network-level aggregation
Latent structure discovery
Sequence-based modeling and interpretation

Each component is modular but designed to work coherently as a system.

Intended audience¶

This framework is designed for:

Computational biologists working with CETSA or thermal profiling
Systems biologists studying metabolic or redox responses
Researchers interested in interpretable protein language models