SSA3
S. cerevisiae
Hsp70 family ATPase SSA3
What the model saw
Gene: SSA3 Organism: Saccharomyces cerevisiae Known functions: Hsp70 family ATPase SSA3. ATP binding. ATP hydrolysis activity. heat shock protein binding. protein folding chaperone. unfolded protein binding.
View unredacted entry
Hsp70 family ATPase SSA3. ATP binding. ATP hydrolysis activity. heat shock protein binding. protein folding chaperone. unfolded protein binding.
Solver output
SSA3 encodes a cytoplasmic Hsp70 chaperone that uses ATP hydrolysis to bind unfolded or misfolded proteins and facilitate their refolding, directly maintaining proteostasis. Hsp70 family members are central to the proteostasis network; their activity prevents the accumulation of toxic protein aggregates that drive cellular aging. In yeast, upregulation of Hsp70 chaperones is a hallmark of the heat-shock and stress responses that extend lifespan, and loss of chaperone capacity accelerates aging phenotypes. SSA3 specifically binds unfolded substrates and cooperates with co-chaperones (e.g., Hsp40/Ydj1) to refold clients, thereby suppressing proteotoxic stress—a key driver of replicative and chronological aging in S. cerevisiae.
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 SSA3 as pro_longevity with 0.78 confidence, but the ground truth is anti_longevity. The model's reasoning follows a general logic that Hsp70 chaperones maintain proteostasis and therefore extend lifespan, but this is incorrect for SSA3 specifically. SSA3 is actually anti-longevity in yeast - its deletion or reduced expression is associated with extended lifespan rather than shortened lifespan. The model failed to account for the fact that SSA3 is a stress-inducible Hsp70 that, when overexpressed or highly active, can actually promote aging rather than prevent it. The model applied generic Hsp70 = pro-longevity reasoning without considering the specific biology of SSA3 in yeast aging contexts. The reasoning quality is poor because it confidently applies a general heuristic that turns out to be wrong for this specific gene.
Raw API responses
solver
{
"reasoning": "SSA3 encodes a cytoplasmic Hsp70 chaperone that uses ATP hydrolysis to bind unfolded or misfolded proteins and facilitate their refolding, directly maintaining proteostasis. Hsp70 family members are central to the proteostasis network; their activity prevents the accumulation of toxic protein aggregates that drive cellular aging. In yeast, upregulation of Hsp70 chaperones is a hallmark of the heat-shock and stress responses that extend lifespan, and loss of chaperone capacity accelerates aging phenotypes. SSA3 specifically binds unfolded substrates and cooperates with co-chaperones (e.g., Hsp40/Ydj1) to refold clients, thereby suppressing proteotoxic stress—a key driver of replicative and chronological aging in S. cerevisiae.",
"confidence": 0.78,
"key_pathways": [
"Hsp70 chaperone cycle / proteostasis network",
"heat shock response",
"protein quality control / disaggregation"
],
"mechanism_class": "loss_of_proteostasis",
"longevity_influence": "pro_longevity"
}advisor
{
"notes": "The model predicted SSA3 as pro_longevity with 0.78 confidence, but the ground truth is anti_longevity. The model's reasoning follows a general logic that Hsp70 chaperones maintain proteostasis and therefore extend lifespan, but this is incorrect for SSA3 specifically. SSA3 is actually anti-longevity in yeast - its deletion or reduced expression is associated with extended lifespan rather than shortened lifespan. The model failed to account for the fact that SSA3 is a stress-inducible Hsp70 that, when overexpressed or highly active, can actually promote aging rather than prevent it. The model applied generic Hsp70 = pro-longevity reasoning without considering the specific biology of SSA3 in yeast aging contexts. The reasoning quality is poor because it confidently applies a general heuristic that turns out to be wrong for this specific gene.",
"failure_mode": "confident_wrong",
"answer_correct": false,
"mechanism_correct": false,
"reasoning_quality": 2,
"ground_truth_questionable": false
}