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
Error correction
Processing UMIs during clone annotation to correct sequence errors and assess the clonal abundance with higher accuracy.
Technology-agnostic
Clustering antibody sequences based on VDJ or CDR3 similarities from different samples regardless of the sequencing technology (e.g., panning rounds output together or single-cell sequencing data with bulk repertoire).
Developability assessment
Using high-throughput structural modeling to confidently predict sequence liabilities and assess the developability of candidates.
A 360 view of your data
Exploring antibody clusters of interest by their size (indicative of clonal expansion), presence of confirmed binders, or any other experimental information.
Easy candidate selection
Extracting representative antibodies of clusters of interest for expression and characterization.
How it works
- Flexible analysis configurations
- Interactive visualizations
- Sophisticated metadata integration
- Automated workflows
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
Advances in lead discovery with high-throughput sequencing data and in-silico models
Mining NGS repertoires to pick better binders with optimal developability profiles