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preprint · bioRxiv

A mechanism-annotated benchmark reveals limited fidelity to drug-response signatures in single-cell perturbation models

Li, L. and colleagues found that high expression similarity often failed to preserve the drug-response signatures models were meant to predict using a mechanism-aware benchmark.

Author affiliations

  • MindFlow.ai

In plain English

A single-cell model can reconstruct a plausible-looking expression profile while getting the direction of important drug-response genes wrong.

How the study worked

A plain-language walk through the work behind the result.

  1. Linked control and drug-treated single-cell profiles to literature-curated directional gene evidence.

  2. Built a Mechanism Fidelity Score spanning direction, effect size, coherence, specificity, and pathway polarity.

  3. Evaluated 12 perturbation models, three baselines, and ten data splits.

What they found

  • Expression-similarity metrics were weakly aligned with mechanism fidelity.
  • Frozen foundation-model embeddings produced local gains rather than consistent improvements.
  • Mechanism-aware selection improved early drug retrieval in the reported transcriptome-based evaluation.

Why it matters

Drug-perturbation models need tests that reward biological mechanism, not merely reconstruction of average expression patterns.

The catch

  • The record is a preprint and has not completed peer review.
  • This summary is based on the abstract; methods and supplementary analyses were not independently rechecked.

Evidence ledger

Sources behind this brief

  1. 01
    Primary source

    bioRxiv preprint

    preprint · Accessed August 26, 2026