mir-125
D. melanogaster
mir-125 stem loop
What the model saw
Gene: mir-125 Organism: Drosophila melanogaster Known functions: mir-125 stem loop. mRNA 3'-UTR binding. mRNA base-pairing post-transcriptional repressor activity.
View unredacted entry
mir-125 stem loop. mRNA 3'-UTR binding. mRNA base-pairing post-transcriptional repressor activity.
Solver output
mir-125 is a conserved microRNA that acts as a post-transcriptional repressor by binding mRNA 3'-UTRs and suppressing target gene expression. In Drosophila, miR-125 (the fly ortholog of mammalian miR-125a/b) has been implicated in regulating stem cell self-renewal and apoptosis, but its net effect on longevity depends critically on which targets it represses in which tissues. It can suppress pro-apoptotic factors (potentially pro-longevity) but also suppress tumor suppressors or stress-response genes (potentially anti-longevity). The molecular function annotations alone—mRNA 3'-UTR binding and base-pairing post-transcriptional repression—do not specify the identity of the downstream targets, making it impossible to assign a clear directional effect on lifespan without additional context about target genes and tissue-specific expression.
GenAge curators classify each gene's normal function as promoting (Pro-Longevity) or opposing (Anti-Longevity) longevity, based on synthesis across studies. Loss-of-function effects can vary from this depending on the manipulation.
Advisor judgment
The model predicted "unclear" with low confidence (0.38), but the ground truth is "pro_longevity." The model's reasoning is plausible in that it acknowledges the bidirectional potential of miRNA regulation, but it failed to commit to the correct answer. The model correctly identified the general mechanism (post-transcriptional repression via mRNA 3'-UTR binding) but couldn't determine the net longevity effect. Given that the model was appropriately uncertain rather than confidently wrong, this is an "appropriately_uncertain" failure mode — the model hedged when it should have leaned toward pro_longevity. The mechanistic reasoning about potential targets is generic and not specific to Drosophila mir-125 longevity studies.
Raw API responses
solver
{
"reasoning": "mir-125 is a conserved microRNA that acts as a post-transcriptional repressor by binding mRNA 3'-UTRs and suppressing target gene expression. In Drosophila, miR-125 (the fly ortholog of mammalian miR-125a/b) has been implicated in regulating stem cell self-renewal and apoptosis, but its net effect on longevity depends critically on which targets it represses in which tissues. It can suppress pro-apoptotic factors (potentially pro-longevity) but also suppress tumor suppressors or stress-response genes (potentially anti-longevity). The molecular function annotations alone—mRNA 3'-UTR binding and base-pairing post-transcriptional repression—do not specify the identity of the downstream targets, making it impossible to assign a clear directional effect on lifespan without additional context about target genes and tissue-specific expression.",
"confidence": 0.38,
"key_pathways": [
"miRNA-mediated post-transcriptional gene silencing",
"mRNA 3'-UTR regulatory axis",
"stem cell self-renewal regulation"
],
"mechanism_class": "unclear",
"longevity_influence": "unclear"
}advisor
{
"notes": "The model predicted \"unclear\" with low confidence (0.38), but the ground truth is \"pro_longevity.\" The model's reasoning is plausible in that it acknowledges the bidirectional potential of miRNA regulation, but it failed to commit to the correct answer. The model correctly identified the general mechanism (post-transcriptional repression via mRNA 3'-UTR binding) but couldn't determine the net longevity effect. Given that the model was appropriately uncertain rather than confidently wrong, this is an \"appropriately_uncertain\" failure mode — the model hedged when it should have leaned toward pro_longevity. The mechanistic reasoning about potential targets is generic and not specific to Drosophila mir-125 longevity studies.",
"failure_mode": "appropriately_uncertain",
"answer_correct": false,
"mechanism_correct": false,
"reasoning_quality": 2,
"ground_truth_questionable": false
}