Pillar 1 · Capsid Intelligence · Sub-module 01

AAV Capsid Fitness Predictor.

Convolutional neural network trained on 2,014 published Bryant variants with real ESM-2 embeddings, capsid-specific physicochemical features, and contrastive-learning objective. Output: tissue-specific fitness ranking for engineered and natural capsids.

CapsidFitnessCNN — 256K parameters.

Single-task supervised model + contrastive auxiliary objective. Input is the VP1 sequence embedding stack; output is a tissue-conditional fitness score in [0, 1]. Trained on CPU (~30 min for the 2,014-variant set); GPU not required for inference.

Input features

Headline metrics.

MetricBefore fixes (v1)After fixes (v2)Delta
Contrastive AUC0.6080.793+0.185 ↑
Classification accuracy0.5960.761+0.165 ↑
AAV9 CNS rank#3 (score 0.461)#1 (score 0.662)multi-scale fix
What changed: Replaced mock ESM-2 embeddings with real embeddings · replaced pseudo-molecular descriptors with capsid-appropriate features (AA fractions, pI, GRAVY, VP3 surface composition, net charge) · multi-scale fusion that re-ranked AAV9 from #3 to #1 for CNS — which matches the in vivo literature.

Trained on 2,014 variants; ranks 15.

Training pool is the Bryant 2014 deep-mutational-scan of AAV2 (2,014 variants with viability/fitness annotations). Output ranking applies to all 15 modeled capsids (13 natural + 2 engineered 4DMT) and any new candidate sequence submitted via the inquiry pipeline.

Note: the model is calibrated for the AAV2-like serotype family. Highly divergent capsids (e.g., AAV5 — 60% sequence identity to AAV2) get a flag in the output indicating "out-of-distribution; treat with caution."

Two-step inquiry.

  1. Send a candidate list — VP1 sequences or program name with capsid spec — via inquiry.
  2. We return a ranked report within 5 business days: contrastive score, BBB score (if relevant), seroprevalence-adjusted clinical risk, comparison to the 15-capsid baseline.

Have a capsid program to rank?

The platform handles natural, engineered, ancestral, and chimeric capsids. Submission accepts up to 50 candidates per briefing.

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