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yata

D. melanogaster

yata

What the model saw

Gene: yata
Organism: Drosophila melanogaster
Known functions: yata. ATP binding. protein kinase activity.
View unredacted entry
yata. ATP binding. protein kinase activity.

Solver output

Predicted influence
Unclear
Confidence
38%
Mechanism
Unclear
Reasoning

The yata gene encodes a protein with ATP binding and protein kinase activity in Drosophila melanogaster. While protein kinases are central regulators of many aging-relevant pathways (e.g., insulin/IGF-1 signaling, TOR, AMPK), the annotations provided are too broad to assign a specific pro- or anti-longevity role without knowing the downstream substrates or the signaling pathway in which yata operates. Kinases can be either pro-longevity (e.g., AMPK-like kinases that promote stress resistance) or anti-longevity (e.g., kinases that activate growth/mTOR signaling). The gene name "yata" does not map to a well-characterized canonical aging pathway based solely on these functional annotations, making a confident directional prediction unreliable.

Key pathways
protein kinase signalingATP-dependent phosphorylationunknown substrate phosphorylation cascade
Longevity influence
Pro-longevity
Lifespan effect
Decrease

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

Answer
Incorrect
Mechanism
Incorrect
Reasoning quality
2/5
Failure mode
Appropriately uncertain
Notes

The model predicted "unclear" while the ground truth is "pro_longevity." The model's reasoning is generic - it correctly identifies that yata has protein kinase activity but fails to commit to a direction. The model acknowledges uncertainty appropriately given limited information, but the actual answer is pro_longevity. The yata gene in Drosophila is known to be involved in neuronal maintenance and aging, with loss-of-function leading to shortened lifespan, making it pro-longevity. The model's reasoning about kinases being bidirectional is technically valid but doesn't leverage any specific knowledge about yata's role in Drosophila aging. The confidence of 0.38 reflects appropriate uncertainty, but the prediction is still wrong.

Raw API responses

solver

{
  "reasoning": "The yata gene encodes a protein with ATP binding and protein kinase activity in Drosophila melanogaster. While protein kinases are central regulators of many aging-relevant pathways (e.g., insulin/IGF-1 signaling, TOR, AMPK), the annotations provided are too broad to assign a specific pro- or anti-longevity role without knowing the downstream substrates or the signaling pathway in which yata operates. Kinases can be either pro-longevity (e.g., AMPK-like kinases that promote stress resistance) or anti-longevity (e.g., kinases that activate growth/mTOR signaling). The gene name \"yata\" does not map to a well-characterized canonical aging pathway based solely on these functional annotations, making a confident directional prediction unreliable.",
  "confidence": 0.38,
  "key_pathways": [
    "protein kinase signaling",
    "ATP-dependent phosphorylation",
    "unknown substrate phosphorylation cascade"
  ],
  "mechanism_class": "unclear",
  "longevity_influence": "unclear"
}

advisor

{
  "notes": "The model predicted \"unclear\" while the ground truth is \"pro_longevity.\" The model's reasoning is generic - it correctly identifies that yata has protein kinase activity but fails to commit to a direction. The model acknowledges uncertainty appropriately given limited information, but the actual answer is pro_longevity. The yata gene in Drosophila is known to be involved in neuronal maintenance and aging, with loss-of-function leading to shortened lifespan, making it pro-longevity. The model's reasoning about kinases being bidirectional is technically valid but doesn't leverage any specific knowledge about yata's role in Drosophila aging. The confidence of 0.38 reflects appropriate uncertainty, but the prediction is still wrong.",
  "failure_mode": "appropriately_uncertain",
  "answer_correct": false,
  "mechanism_correct": false,
  "reasoning_quality": 2,
  "ground_truth_questionable": false
}