Nullary

Inactive small-molecule compound-target pairs.

Small molecules that failed selectivity.

Small-molecule ADMET failures.

Failed/ineffective CRISPR guides.

Non-dependency / failed essentiality screens.

Ancestry-specific CRISPR failures.

Antibody developability failures.

Discontinued/terminated clinical antibodies.

Failed peptide therapeutics.

Peptide stability/half-life failures.

PROTACs that failed degradation/ternary/permeability.

PROTAC E3-ligase recruitment / ternary failures.

ASOs/siRNAs that failed engagement/developability.

Oligonucleotide delivery failures.

Failed/terminated vaccines (by pathogen/indication).

Failed vaccine immunogen designs.

ADCs that failed at any stage.

ADC failures attributed to linker chemistry.

Bispecifics that failed at any stage.

Bispecific format/engineering failures.

ADMET failures across ALL modalities.

Drug-drug interaction failures.

Approaches that failed for a mechanism (by target).

Findings that failed to replicate.

Clinical/preclinical safety failures across modalities.

ALL failed approaches against a target across every modality.

ALL failed approaches for an indication across every modality.

Vaccine + antimicrobial + antibody failures for a pathogen.

A compound (structure, name, max clinical phase) + its full negative profile across modalities/sources.

Full provenance + detail for a single finding by id.

Target 'graveyard' / exhaustion index: how many distinct compounds/agents have been tried against a target and failed, broken down by modality and outcome. Answers 'how picked-over is this target?'. Accepts a gene symbol (e.g. EGFR) or a UniProt accession (e.g. P00533).

Coverage browse: the most heavily-pursued ('graveyard') targets, ranked by recorded negative findings. Optional family filter (kinase, gpcr, protease, nuclear_receptor, ion_channel, transporter, phosphatase, other).

Summary of the Layer-1 inactivity-scoring model registry: how many per-target models, split by family, and median scaffold-split ROC-AUC.

Per-target Layer-1 model card: training counts and held-out scaffold-split metrics (ROC-AUC, PR-AUC, Brier, calibration). Accepts a gene symbol (e.g. EGFR) or UniProt accession (e.g. P00533).

Per-modality and per-source coverage stats (honest Phase-1 numbers).