egl-3
C. elegans
Neuroendocrine convertase 2
What the model saw
Gene: egl-3 Organism: Caenorhabditis elegans Known functions: Neuroendocrine convertase 2. FBXO family protein binding. peptidase activity. serine-type endopeptidase activity. serine-type peptidase activity.
View unredacted entry
Neuroendocrine convertase 2. FBXO family protein binding. peptidase activity. serine-type endopeptidase activity. serine-type peptidase activity.
Solver output
EGL-3 is the C. elegans ortholog of mammalian proprotein convertase 2 (PC2/PCSK2), a neuroendocrine serine-type endopeptidase responsible for proteolytic processing of proneuropeptides into mature bioactive neuropeptides. In C. elegans, EGL-3 is required for the maturation of numerous neuropeptides, including FMRFamide-like peptides (FLPs) and insulin-like peptides (ILPs). Several ILPs processed by EGL-3 act as agonists of the DAF-2/insulin-IGF-1 receptor; loss of EGL-3 reduces the pool of mature agonistic ILPs, thereby dampening DAF-2 signaling and allowing DAF-16/FOXO to remain active in the nucleus, which promotes stress resistance and longevity. Additionally, EGL-3's FBXO family protein binding activity may link it to ubiquitin-mediated proteostasis pathways. The net effect of EGL-3 activity is to sustain pro-aging insulin/IGF-1 signaling through neuropeptide maturation, meaning its normal function is mildly anti-longevity; however, because it also processes diverse neuropeptides with complex effects, the directionality is nuanced and confidence is moderate.
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 "pro_longevity" but the ground truth is "anti_longevity." Interestingly, the model's own reasoning actually arrives at the correct mechanistic conclusion — that EGL-3's normal function is "mildly anti-longevity" by sustaining pro-aging insulin/IGF-1 signaling through neuropeptide maturation — but then contradicts itself by outputting "pro_longevity" as the final answer. The reasoning quality is moderate: the model correctly identifies the key pathway (ILP processing → DAF-2 signaling) and even explicitly states the correct directionality in the reasoning text, yet the final classification is wrong. This is a case of right reasoning but wrong final answer, possibly due to confusion about the framing (loss-of-function vs. normal function). The confidence of 0.62 is moderate but still wrong.
Raw API responses
solver
{
"reasoning": "EGL-3 is the C. elegans ortholog of mammalian proprotein convertase 2 (PC2/PCSK2), a neuroendocrine serine-type endopeptidase responsible for proteolytic processing of proneuropeptides into mature bioactive neuropeptides. In C. elegans, EGL-3 is required for the maturation of numerous neuropeptides, including FMRFamide-like peptides (FLPs) and insulin-like peptides (ILPs). Several ILPs processed by EGL-3 act as agonists of the DAF-2/insulin-IGF-1 receptor; loss of EGL-3 reduces the pool of mature agonistic ILPs, thereby dampening DAF-2 signaling and allowing DAF-16/FOXO to remain active in the nucleus, which promotes stress resistance and longevity. Additionally, EGL-3's FBXO family protein binding activity may link it to ubiquitin-mediated proteostasis pathways. The net effect of EGL-3 activity is to sustain pro-aging insulin/IGF-1 signaling through neuropeptide maturation, meaning its normal function is mildly anti-longevity; however, because it also processes diverse neuropeptides with complex effects, the directionality is nuanced and confidence is moderate.",
"confidence": 0.62,
"key_pathways": [
"insulin/IGF-1 signaling (DAF-2/DAF-16 axis)",
"neuropeptide processing and neuroendocrine communication",
"ubiquitin-proteasome system (FBXO binding)"
],
"mechanism_class": "altered_intercellular_communication",
"longevity_influence": "pro_longevity"
}advisor
{
"notes": "The model predicted \"pro_longevity\" but the ground truth is \"anti_longevity.\" Interestingly, the model's own reasoning actually arrives at the correct mechanistic conclusion — that EGL-3's normal function is \"mildly anti-longevity\" by sustaining pro-aging insulin/IGF-1 signaling through neuropeptide maturation — but then contradicts itself by outputting \"pro_longevity\" as the final answer. The reasoning quality is moderate: the model correctly identifies the key pathway (ILP processing → DAF-2 signaling) and even explicitly states the correct directionality in the reasoning text, yet the final classification is wrong. This is a case of right reasoning but wrong final answer, possibly due to confusion about the framing (loss-of-function vs. normal function). The confidence of 0.62 is moderate but still wrong.",
"failure_mode": "confident_wrong",
"answer_correct": false,
"mechanism_correct": false,
"reasoning_quality": 3,
"ground_truth_questionable": false
}