← Validation

Life Science and ADMET Validation

This track tests FluxMateria on pharmacology, toxicology, ADMET, target, and selectivity signals. External groups can bring trusted endpoint datasets, define a blinded split, and measure how the physics engine performs on compounds it has not been given answers for.

Best-fit validators

CADD, cheminformatics, pharmacology, translational modeling, toxicology, and computational biology groups with trusted endpoint datasets.

Recommended first challenge

One endpoint, one split, one metric. The external group selects a dataset and split it already trusts. FluxMateria receives structures and endpoint definitions, not test labels.

Endpoints in scope

  • Solubility
  • Plasma protein binding
  • BBB permeability
  • CYP metabolism or induction
  • hERG and DILI
  • Permeability
  • Target identification, binding affinity, MoA, and selectivity classification

Recommended metrics

  • AUROC and AUPRC
  • Balanced accuracy
  • MAE
  • Spearman or Pearson correlation
  • Calibration curve
  • Enrichment factor
  • False-positive and false-negative analysis

Useful baselines

  • The validator’s current model
  • Public leaderboard models where split-compatible
  • Simple descriptor or fingerprint baselines
  • Existing QSAR or ML systems

Minimum dataset fields

case_id
smiles_or_structure
endpoint_name
assay_context
species_or_cell_line_if_relevant
split_assignment
target_hidden
notes

Output from FluxMateria

case_id
prediction
score_or_class
confidence
mechanistic_annotations_if_available
module_version
status_label
notes
Does FluxMateria add an independent deterministic signal to an ADMET or selectivity endpoint selected and scored by an external group?

Run an endpoint validation

A clean life-science validation can become an independent endpoint report, joint benchmark note, comparison against a lab workflow, or focused pilot study.

Request an ADMET Packet