Case study

Automating antibody discovery: from data to development

The Challenge

The company aimed to perform a comprehensive analysis of camelid germline immunoglobulin V gene repertoires and assess homology to human counterparts. Manual analysis of thousands of sequences is time-consuming and prone to error.

Our Approach

We mined camelid genomes, analysed homology with humans and streamlined immunoinformatics to accelerate antibody discovery.

    • Genome mining & annotation: Used Antibody-extractor® to mine camel and alpaca genomes, identifying new V-gene repertoires and annotating them against human counterparts.
    • Homology analysis & structural prediction: Analysed homology and predicted structures between camelid and human repertoires, confirmed with X-ray crystallography.
    • Efficiency & simplification: Reduced analysis time from days to minutes and enabled discovery of two antibodies that advanced to Phase 1b studies.

The Outcome

    • Simplified and accelerated antibody discovery, yielding novel biological insights.
    • Revealed counterparts of all human V-gene families across camel, alpaca and llama species.
    • Improved processing efficiency and produced antibodies now in clinical development.

Why It Matters

Purpose-built computational tools reduce the barriers to antibody discovery. Automating sequence analysis accelerates therapeutic development and opens new avenues in immuno-biotech.

Let’s discuss how we can turn your data into real scientific impact.

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Why bioinformatics workflows require experienced software engineers

Why bioinformatics workflows require experienced software engineers

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