gpa-10
C. elegans
Guanine nucleotide-binding protein alpha-10 subunit
What the model saw
Gene: gpa-10 Organism: Caenorhabditis elegans Known functions: Guanine nucleotide-binding protein alpha-10 subunit. G protein-coupled receptor binding. G-protein beta/gamma-subunit complex binding. GTPase activity. guanyl nucleotide binding.
View unredacted entry
Guanine nucleotide-binding protein alpha-10 subunit. G protein-coupled receptor binding. G-protein beta/gamma-subunit complex binding. GTPase activity. guanyl nucleotide binding.
Solver output
gpa-10 encodes a Gα subunit that couples GPCRs to downstream effectors via GTPase cycling. In C. elegans, Gα proteins transduce signals from chemosensory and neuroendocrine GPCRs, which can feed into nutrient-sensing and insulin/IGF-1-like signaling pathways that regulate longevity. However, the specific downstream effectors and signaling direction of gpa-10 are not well characterized from these annotations alone. Different Gα subunits in C. elegans (e.g., gpa-2, gpa-3) have opposing effects on lifespan depending on whether they promote or inhibit DAF-16/FOXO activity, and without knowing which effector pathway gpa-10 couples to, the net effect on longevity cannot be confidently determined. The annotations confirm canonical Gα molecular function (GTPase activity, guanyl nucleotide binding, GPCR and Gβγ binding) but do not specify whether signaling output is pro- or anti-longevity.
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" while the ground truth is "pro_longevity." The model's reasoning is logically sound given the limited information provided - it correctly identifies that different Gα subunits in C. elegans can have opposing effects on lifespan, and without specific downstream pathway information, the direction is uncertain. The model appropriately hedged rather than guessing, but ultimately got the answer wrong. The mechanism class of "deregulated_nutrient_sensing" is plausible but not confirmed. The model's confidence of 0.38 reflects appropriate uncertainty. This is a case of appropriate uncertainty leading to an incorrect answer rather than a confident wrong prediction.
Raw API responses
solver
{
"reasoning": "gpa-10 encodes a Gα subunit that couples GPCRs to downstream effectors via GTPase cycling. In C. elegans, Gα proteins transduce signals from chemosensory and neuroendocrine GPCRs, which can feed into nutrient-sensing and insulin/IGF-1-like signaling pathways that regulate longevity. However, the specific downstream effectors and signaling direction of gpa-10 are not well characterized from these annotations alone. Different Gα subunits in C. elegans (e.g., gpa-2, gpa-3) have opposing effects on lifespan depending on whether they promote or inhibit DAF-16/FOXO activity, and without knowing which effector pathway gpa-10 couples to, the net effect on longevity cannot be confidently determined. The annotations confirm canonical Gα molecular function (GTPase activity, guanyl nucleotide binding, GPCR and Gβγ binding) but do not specify whether signaling output is pro- or anti-longevity.",
"confidence": 0.38,
"key_pathways": [
"GPCR-Gα signaling",
"insulin/IGF-1-like signaling (DAF-2/DAF-16 axis)",
"neuroendocrine nutrient sensing"
],
"mechanism_class": "deregulated_nutrient_sensing",
"longevity_influence": "unclear"
}advisor
{
"notes": "The model predicted \"unclear\" while the ground truth is \"pro_longevity.\" The model's reasoning is logically sound given the limited information provided - it correctly identifies that different Gα subunits in C. elegans can have opposing effects on lifespan, and without specific downstream pathway information, the direction is uncertain. The model appropriately hedged rather than guessing, but ultimately got the answer wrong. The mechanism class of \"deregulated_nutrient_sensing\" is plausible but not confirmed. The model's confidence of 0.38 reflects appropriate uncertainty. This is a case of appropriate uncertainty leading to an incorrect answer rather than a confident wrong prediction.",
"failure_mode": "appropriately_uncertain",
"answer_correct": false,
"mechanism_correct": false,
"reasoning_quality": 3,
"ground_truth_questionable": false
}