MNN2
S. cerevisiae
alpha-1,2-mannosyltransferase MNN2
What the model saw
Gene: MNN2 Organism: Saccharomyces cerevisiae Known functions: alpha-1,2-mannosyltransferase MNN2. alpha-1,2-mannosyltransferase activity. glycosyltransferase activity.
View unredacted entry
alpha-1,2-mannosyltransferase MNN2. alpha-1,2-mannosyltransferase activity. glycosyltransferase activity.
Solver output
MNN2 encodes an alpha-1,2-mannosyltransferase responsible for adding mannose residues to N-linked glycans on the outer chain of yeast cell wall mannoproteins. Proper mannosylation is critical for cell wall integrity and protein folding/secretion, but its direct connection to canonical longevity pathways (e.g., TOR, sirtuins, autophagy) is not well established. While glycosylation quality can influence proteostasis and intercellular signaling via cell surface glycoproteins, the specific role of MNN2-mediated alpha-1,2-mannosylation in aging has not been clearly linked to either pro- or anti-longevity outcomes in yeast. The function is too peripherally connected to core aging mechanisms to make a confident directional prediction.
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 "anti_longevity." The model correctly identified MNN2's function as an alpha-1,2-mannosyltransferase involved in N-linked glycosylation and cell wall integrity, but failed to make a directional prediction. The model's reasoning about the peripheral connection to core aging mechanisms led it to abstain rather than predict anti-longevity. The mechanism class of "altered_intercellular_communication" is a reasonable but not particularly precise guess. The model's uncertainty was somewhat appropriate given the non-obvious connection, but it still got the answer wrong. The confidence of 0.35 reflects genuine uncertainty, making this an "appropriately_uncertain" failure rather than a confident wrong answer.
Raw API responses
solver
{
"reasoning": "MNN2 encodes an alpha-1,2-mannosyltransferase responsible for adding mannose residues to N-linked glycans on the outer chain of yeast cell wall mannoproteins. Proper mannosylation is critical for cell wall integrity and protein folding/secretion, but its direct connection to canonical longevity pathways (e.g., TOR, sirtuins, autophagy) is not well established. While glycosylation quality can influence proteostasis and intercellular signaling via cell surface glycoproteins, the specific role of MNN2-mediated alpha-1,2-mannosylation in aging has not been clearly linked to either pro- or anti-longevity outcomes in yeast. The function is too peripherally connected to core aging mechanisms to make a confident directional prediction.",
"confidence": 0.35,
"key_pathways": [
"N-linked glycosylation / mannan outer chain biosynthesis",
"cell wall integrity signaling",
"protein secretory pathway"
],
"mechanism_class": "altered_intercellular_communication",
"longevity_influence": "unclear"
}advisor
{
"notes": "The model predicted \"unclear\" while the ground truth is \"anti_longevity.\" The model correctly identified MNN2's function as an alpha-1,2-mannosyltransferase involved in N-linked glycosylation and cell wall integrity, but failed to make a directional prediction. The model's reasoning about the peripheral connection to core aging mechanisms led it to abstain rather than predict anti-longevity. The mechanism class of \"altered_intercellular_communication\" is a reasonable but not particularly precise guess. The model's uncertainty was somewhat appropriate given the non-obvious connection, but it still got the answer wrong. The confidence of 0.35 reflects genuine uncertainty, making this an \"appropriately_uncertain\" failure rather than a confident wrong answer.",
"failure_mode": "appropriately_uncertain",
"answer_correct": false,
"mechanism_correct": false,
"reasoning_quality": 2,
"ground_truth_questionable": false
}