Perihelion

Research

The questions we are working on.

Data

How do you measure affinity at high throughput
without losing the quality a model needs?

Protein models have already been trained on nearly every structure ever solved,
yet for most targets that matter there is almost no affinity data.

Benchmarks

What does a metric have to capture
before a higher score translates to the bench?

A docked pose has long been judged correct by how close it sits to the crystal pose,
not by whether it clashes with the protein
or keeps the contacts that hold the ligand in place.

Self-improvement

How do you tell real improvement
from overfitting to the last result?

An agent can now run an experiment, read the result,
and rewrite its own method before the next one.