mub
D. melanogaster
mushroom-body expressed
What the model saw
Gene: mub Organism: Drosophila melanogaster Known functions: mushroom-body expressed. RNA binding. mRNA binding. nucleic acid binding.
View unredacted entry
mushroom-body expressed. RNA binding. mRNA binding. nucleic acid binding.
Solver output
The gene mub (mushroom-body expressed) encodes an RNA-binding protein with mRNA binding and general nucleic acid binding activity. While RNA-binding proteins can influence longevity through post-transcriptional regulation of stress response, proteostasis, or nutrient-sensing mRNAs, the available annotations do not specify which mRNA targets or downstream pathways are regulated. Mushroom body expression in Drosophila is associated with neuronal function and learning/memory, but this alone does not clearly map to a pro- or anti-longevity role. Without knowledge of specific mRNA targets or interaction partners, it is not possible to confidently assign a direction of longevity influence.
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 (0.35), while the ground truth is "anti_longevity." The model's reasoning is plausible given the limited information provided (RNA-binding protein with mushroom body expression), but it failed to commit to the correct answer. The model correctly identified relevant functional categories (RNA binding, post-transcriptional regulation) but could not determine the directionality. Since the model explicitly chose "unclear" rather than making a wrong directional prediction, this is an appropriately uncertain failure rather than a confident wrong answer. The reasoning quality is modest - the model correctly notes the ambiguity but doesn't attempt to leverage any additional reasoning that might point toward anti-longevity (e.g., considering that overexpression of RNA-binding proteins can disrupt normal mRNA regulation and reduce lifespan).
Raw API responses
solver
{
"reasoning": "The gene mub (mushroom-body expressed) encodes an RNA-binding protein with mRNA binding and general nucleic acid binding activity. While RNA-binding proteins can influence longevity through post-transcriptional regulation of stress response, proteostasis, or nutrient-sensing mRNAs, the available annotations do not specify which mRNA targets or downstream pathways are regulated. Mushroom body expression in Drosophila is associated with neuronal function and learning/memory, but this alone does not clearly map to a pro- or anti-longevity role. Without knowledge of specific mRNA targets or interaction partners, it is not possible to confidently assign a direction of longevity influence.",
"confidence": 0.35,
"key_pathways": [
"RNA binding / post-transcriptional regulation",
"mushroom body neuronal function",
"mRNA stability or translation control"
],
"mechanism_class": "unclear",
"longevity_influence": "unclear"
}advisor
{
"notes": "The model predicted \"unclear\" with low confidence (0.35), while the ground truth is \"anti_longevity.\" The model's reasoning is plausible given the limited information provided (RNA-binding protein with mushroom body expression), but it failed to commit to the correct answer. The model correctly identified relevant functional categories (RNA binding, post-transcriptional regulation) but could not determine the directionality. Since the model explicitly chose \"unclear\" rather than making a wrong directional prediction, this is an appropriately uncertain failure rather than a confident wrong answer. The reasoning quality is modest - the model correctly notes the ambiguity but doesn't attempt to leverage any additional reasoning that might point toward anti-longevity (e.g., considering that overexpression of RNA-binding proteins can disrupt normal mRNA regulation and reduce lifespan).",
"failure_mode": "appropriately_uncertain",
"answer_correct": false,
"mechanism_correct": false,
"reasoning_quality": 2,
"ground_truth_questionable": false
}