END-TO-END SOLUTION
In Vivo
Antibody Discovery
The challenges of
In Vivo Antibody Discovery
Complex Lineage Tracking
Mapping immune responses requires tracing Somatic Hypermutation (SHM) trees to germline ancestors. Black-box algorithms obscure the phylogenetic relationships crucial for understanding affinity maturation.
Late-Stage Developability Failures
Natural antibodies aren't optimized for manufacturing. Failing to identify physicochemical liabilities—like oxidation or deamidation —early leads to costly downstream failures.
The Single-Cell vs. Bulk Disconnect
Deep variant extraction needs bulk NGS, while native HL pairing requires single-cell data. Disconnected tools make cross-referencing these sets to validate clonal expansion a bioinformatics nightmare.
Multiomics Data Silos
Modern campaigns use 10x BEAM or BD Rhapsody to capture BCRs, transcriptomics, and antigen specificity. Standard pipelines struggle to integrate these multi-dimensional layers into a unified decision matrix.
From complex repertoires
to clinical candidates.
Replace fragmented pipelines with a governed environment powered by our proprietary P-frame data layer. Seamlessly process massive single-cell and bulk datasets with absolute data provenance. Move from raw reads to a diverse, paired-chain candidate panel without leaving the platform.
The In Vivo analysis suite.
Lineage Tracing & SHM Trees
Visualize evolutionary paths. Build rigorous Somatic Hypermutation (SHM) trees to track affinity maturation from common germline ancestors.
Multiomics Integration
Natively ingest data from 10x Genomics, BEAM, and BD Rhapsody to correlate BCR clonotypes directly with single-cell data.
Antigen Specificity Mapping
Overlay surface protein markers, flow cytometry data, and antigen binding scores onto your repertoire data to validate biological function.
Paratope & Structural Clustering
Move beyond simple sequence identity. Cluster antibodies based on predicted 3D structures and paratopes to group candidates by true functional epitopes.
Antibody Space Visualization
Project complex amino acid sequences into a 2D interactive UMAP scatter plot to instantly spot distinct antibody families and expansion hotspots.
Sequence Liabilities
Systematically scan clonotypes for specific instability motifs like deamidation and oxidation before costly wet-lab validation.
Data-Backed Prioritization
Triangulate your best hits by filtering leads based on multiomics data, binding strength, and structural diversity to secure a robust panel.
End-to-end workflow.
Application Notes→
Data Import & Integration
Ingest raw reads from bulk NGS and
multiomics platforms (10x, Rhapsody, Beacon).Link complex experimental metadata.
Single Cell & Bulk Clonotyping
Error correction and accurate V(D)J assembly via MiXCR.
Resolve native Heavy/Light (HL) chain pairing
from single-cell technologies.
Lineage Tracking & SHM Analysis
Group sequences by V/J germline genes.
Construct phylogenetic trees to map somatic hypermutation.
Structural Diversity & Clustering
Cluster families by paratope and predicted 3D geometries.
Visualize the repertoire in a unified UMAP space.
Candidate Prioritization
Filter by transcriptomics, binding strength, and liabilities.
Select a highly diverse, structurally distinct panel of developable leads.