The Specifica advantage
- Start at an advantage by training on data from an antibody library already optimized for therapeutic properties:
- High developabilities, straight from selections
- High level of starting functionality
- High diversities
- High affinities
- Go beyond training on public repositories by training on large datasets directly relevant to drug discovery against targets of interest.
- Train on diverse outputs containing many different paratopes against targets of interest.
- Early-round sequencing of diverse populations optimal for training foundation AI models.
- Flexible sort options and labels to capture important populations to suit your fine-tuning needs:
- Binary: [bind/no bind; competitor/non-competitive binding]
- Multi-categorical: Includes different sort concentrations (100nM, 50nM, 20nM, 1nM) and/or various output categories such as high, medium, and low-stringency sorting.
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Start with the experts in antibody engineering and sequencing:
- >200 individual naïve libraries built using different scaffolds, formats, variable gene sources and diversity
- Antibody NGS experts demonstrated by high-profile publications
- > 100 successful campaigns, each of which produces hundreds of distinct antibody clusters
- Standardized datasets with key NGS fields provided – round-to-round enrichment, population relative frequency.
- Diverse, NGS datasets from our validated platform
- Millions of annotated and target-labeled sequences from our in vitro display platform optimal for AI models
