evaluation · needs review

ProteinBERT LLM-encoding model: mRNA-protein interaction prediction

Evaluation procedure

LLM encoding of protein partner; RBP-aware partition tests generalization to unseen protein diversity

Metadata review: needs review. Unreported conditions prevent automatic comparisons.

Release 2026-09-16-d74d282221a9 · 1 evaluation · 1 metric row. Different protocols are not a single leaderboard.

Evaluated configurationMetricEvidence origin

Results grouped by the exact reported evaluation
Metric and finding	Coverage and uncertainty	Evidence
ProteinBERT LLM-encoding model: mRNA-protein interaction prediction Model: ProteinBERT LLM-encoding model · Benchmark: mRNA-protein interaction prediction · Dataset: mRNA-RBP pairs LLM encoding of protein partner; RBP-aware partition tests generalization to unseen protein diversity Author-reported evaluation · Evaluation metadata: needs review
71.5% AUROC Unit: percent · Direction: unknown	Uncertainty: not reported in legacy extract Scored: Not reported · Eligible: Not reported	source checkedGeneralizable deep-learning-based mRNA-protein interaction prediction strongly depends on protein diversity · Table 2, RBP-aware test set row, auROC (%) column Source checking is not independent reproduction.

Release 2026-09-16-d74d282221a9 · Record review: needs review

Technical metadata and extraction receipts

Stable ID: evaluation-lit-b4-008

areas: rna-transcriptomes
tasks: mRNA-protein interaction prediction
origin: author_reported
protocol: LLM encoding of protein partner; RBP-aware partition tests generalization to unseen protein diversity
version: Not reported
comparison: protocol id: Not reported; dataset version: Not reported; split: RBP-aware test set; population: Not reported; inputs: Not reported; adaptation: Not reported; metric implementation: Not reported; aggregation: Not reported; budget: Not reported
missing metadata: model version: not_reported_in_legacy_extract; dataset version: not_reported_in_legacy_extract

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