Interpreting GraphSol outputs

You get back a solubility probability (0–1) and a binary call for each sequence, alongside summary artifacts. That probability drives your next step: a high value marks a protein worth prioritizing for expression, while a low one flags a likely-insoluble candidate to redesign or re-construct before you invest in the wet-lab work.

Interpreting GraphSol outputs

Each completed job returns per-sequence predictions and summary artifacts.

Output fields

• id: Sequence identifier from your input.
• length: Sequence length in residues.
• probability: Solubility probability in the range [0, 1].
• call: Binary label using the current threshold (default 0.5).
• warnings: Optional messages (e.g., non-standard residues removed).

Artifacts

• results.csv: Tabular predictions with all fields.
• results.json: Same content as CSV for programmatic use.
• summary.json: Run-level metadata including input counts and threshold used.

Interpreting scores

• probability >= 0.7: High-confidence soluble candidates.
• 0.4–0.7: Consider further validation or sequence optimization.
• < 0.4: Likely insoluble; prioritize for refactoring or alternative constructs.

Adjusting thresholds

If your downstream pipeline prefers higher precision, rerun with a higher threshold (e.g., 0.6–0.7). For higher recall, lower to 0.3–0.4. The CSV is reusable—no need to resubmit sequences when only thresholding changes.

Canvas Visualization

When a GraphSol job completes, a result card appears on the canvas.

• Card size: 350x300px
• Border color: Orange (#FF9800)
• Visualization: Solubility prediction with graph-based feature visualization

Tier 2 Metrics

• Solubility score
• Confidence percentage
• Graph features (nodes, edges)
• Important residues highlighted by attention weights

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