Production workflow layer for falsifiable-targets: parallel batch auditing of drug-target claims with Nextflow and Snakemake DAGs and a Docker image.
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Updated
May 26, 2026 - Python
Production workflow layer for falsifiable-targets: parallel batch auditing of drug-target claims with Nextflow and Snakemake DAGs and a Docker image.
One-page, reproducible target-confidence summary that resolves the evidence into an explicit TRUST / CAUTION / REFUSE verdict rather than an unrecoverable score.
Falsifiable drug-target validation: a content-addressed audit engine for direction of effect (inhibit vs. activate), built on Open Targets colocalization and benchmarked against approved drug–target pairs. SHA-locked rules; allowed to refuse.
Why the best genetically validated pain target keeps failing in the clinic: a genetic–pharmacological asymmetry at Nav1.7 (SCN9A), worked through single-cell atlases, a homeostatic-compensation model and human genetics.
Does gnomAD LOEUF constraint predict drug-target safety? A negative result: LOEUF measures genetic loss-of-function tolerance well and clinical safety of inhibition poorly.
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