Hit selection
Picking the optimal set of antibody candidates

Optimize antibody hit selection by easily integrating single-cell, Sanger, and NGS data. Cluster data, create phylogenetic trees, predict developability profiles, and efficiently pick the optimal and diverse panel of hits for expression and characterization, ensuring the selection of the optimal candidates.

Select the optimal set of developable antibody candidates

Whether identifying the optimal candidate panel from high-throughput NGS data or selecting the best set of clones for further screening, diversity and developability are crucial considerations. Clustering and phylogeny are invaluable tools in this process, along with integrating metadata from the lab and developability profiles.

With the IGX Platform, you can easily integrate any assay data from wet lab experiments and compute structure-based developability profiles in silico. This information is seamlessly incorporated into your analysis workflow, creating information-rich visualizations in clustering, phylogeny, and the final selection of the optimal mix of diverse and developable hits.

Antibody discovery simplified

How it works

Be in control of your own data analysis

Exploring clusters, phylogenetic trees, and developability profiles is an excellent approach to identify promising antibody candidates. However, the setup and execution come with significant methodological and computational challenges. With the IGX Platform, you can easily cluster your data and generate interactive phylogenetic trees, helping you narrow down millions of candidate sequences to the most promising antibodies in just a few clicks. Whether you’re looking to deep dive into the data with interactive visualizations and flexible configurations or automate selections with standardized workflows, the IGX Platform has you covered.

Learn more about the most powerful platform for antibody discovery

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