set-9
C. elegans
Histone-lysine N-methyltransferase set-9
What the model saw
Gene: set-9 Organism: Caenorhabditis elegans Known functions: Histone-lysine N-methyltransferase set-9. histone methyltransferase activity.
View unredacted entry
Histone-lysine N-methyltransferase set-9. histone methyltransferase activity.
Solver output
SET-9 is a histone-lysine N-methyltransferase in C. elegans, catalyzing methylation of histone lysine residues to regulate chromatin state and gene expression. Histone methylation can be either activating (e.g., H3K4me3, H3K36me3) or repressive (e.g., H3K9me3, H3K27me3) depending on the specific residue targeted, and the available annotations do not specify which lysine residue SET-9 methylates. In C. elegans, some SET-domain methyltransferases (e.g., set-2/H3K4me3) promote longevity by maintaining youthful transcriptional programs, while others (e.g., met-2/H3K9me2) have complex or opposing roles. Without knowledge of the specific histone substrate and mark deposited by SET-9, it is not possible to confidently assign a pro- or anti-longevity role, as the downstream transcriptional consequences are fundamentally ambiguous from the available annotations alone.
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 the epigenetic/histone methylation mechanism and acknowledged that different SET-domain methyltransferases have different roles in C. elegans longevity. However, it failed to commit to a prediction. SET-9 is known to be anti-longevity (loss of function extends lifespan), and the model's reasoning, while logically sound given limited information, did not leverage available knowledge about set-9 specifically. The reasoning quality is moderate - the model correctly frames the problem but ultimately hedges rather than making a prediction. The mechanism class (epigenetic_alterations) is correct.
Raw API responses
solver
{
"reasoning": "SET-9 is a histone-lysine N-methyltransferase in C. elegans, catalyzing methylation of histone lysine residues to regulate chromatin state and gene expression. Histone methylation can be either activating (e.g., H3K4me3, H3K36me3) or repressive (e.g., H3K9me3, H3K27me3) depending on the specific residue targeted, and the available annotations do not specify which lysine residue SET-9 methylates. In C. elegans, some SET-domain methyltransferases (e.g., set-2/H3K4me3) promote longevity by maintaining youthful transcriptional programs, while others (e.g., met-2/H3K9me2) have complex or opposing roles. Without knowledge of the specific histone substrate and mark deposited by SET-9, it is not possible to confidently assign a pro- or anti-longevity role, as the downstream transcriptional consequences are fundamentally ambiguous from the available annotations alone.",
"confidence": 0.42,
"key_pathways": [
"histone lysine methylation",
"chromatin remodeling",
"epigenetic gene regulation"
],
"mechanism_class": "epigenetic_alterations",
"longevity_influence": "unclear"
}advisor
{
"notes": "The model predicted \"unclear\" while the ground truth is \"anti_longevity.\" The model correctly identified the epigenetic/histone methylation mechanism and acknowledged that different SET-domain methyltransferases have different roles in C. elegans longevity. However, it failed to commit to a prediction. SET-9 is known to be anti-longevity (loss of function extends lifespan), and the model's reasoning, while logically sound given limited information, did not leverage available knowledge about set-9 specifically. The reasoning quality is moderate - the model correctly frames the problem but ultimately hedges rather than making a prediction. The mechanism class (epigenetic_alterations) is correct.",
"failure_mode": "appropriately_uncertain",
"answer_correct": false,
"mechanism_correct": true,
"reasoning_quality": 3,
"ground_truth_questionable": false
}