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Demos Trials

Move your antibody design from concept to candidate

Supercharge antibody discovery and development with data-driven candidate selection.

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Enhancing Antibody Developability with AI: A Design-Make-Test-Decide Approach:

  • Predict antibody liability sites in real-time
  • Reduce dependence on fragmented tools
  • Integrate predictive insights early in discovery
  • Make faster decisions with a unified platform
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    Design

    Create antibody candidates from the realm of possibility

    From monoclonal antibodies to ADCs , design choices must balance structure, binding, and manufacturability. Signals Notebook and Signals One help you shape those decisions with built-in design tools and collaborative traceability.

    • Take a high-level view in the Signals One Antibody Dashboard, which combines sequence data, developability predictions, and metadata
    • Evaluate predicted binding, immunogenicity, and formulation properties in early-stage design
    • Share, review, and revise construct designs across teams
    • Store plasmid sequences in Signals Notebook and link to constructs

    Move confidently from initial idea to candidate-ready designs.

    View a demo of the Antibody Dashboard

    Make

    Trace your construct from in silico to DNA to protein

    Ensure every plasmid, expression vector, and formulation variant is captured and connected.

    • Register expression constructs, systems, and purification steps in Signals Notebook
    • Link downstream assay and formulation data to each construct’s lineage
    • Prevent costly version confusion and time-consuming manual audits with structured construct histories in Signals Notebook
    • Ensure validation-readiness with Signals Notebook adherence to GLP and GMP standards

    Build and refine with confidence using traceable, structured antibody development workflows.

    See how BioRegistry in Signals Notebook supports antibody lineage tracing   

    Test

    Characterize with confidence by linking experimental data to each candidate

    Affinity and specificity are not enough for antibody-based therapeutics. Optimal formulation must consider solubility, aggregation, and stability characteristics. Signals One helps save time and effort by linking assay data to each candidate and formulation and building a multiparameter profile and developability assessment. 

    • Process data from high-throughput ELISA, SPR, or thermal shift assays and compare across candidates
    • Use customizable assay workflows for consistent, scalable candidate testing
    • Automatically build candidate profiles with connected, structured assay results and standardized procedures
    • Reclaim time spent in routine workflows with built-in automated data cleaning and analyses

    Characterize antibody candidates in Signals One and never lose track of your experiments and data.

    Explore plate-based antibody analysis workflows in Signals One 

    Decide

    Advance the top performers with data-driven clarity

    Go beyond binding affinity and select candidates based on a multiparameter view that factors in performance, manufacturability, and developability.

    • Use natively integrated Spotfire analytics in Signals One to compare candidates with automated developability assessments
    • Run multiparameter optimization (MPO) and principal component analysis to identify top candidates
    • Evaluate ADC payload compatibility with Signals One cross-modality decision support
    • Accelerate team decisions with visual dashboards linked to sequence, expression, and assay data

    Turn your candidate data into clear next steps with MPO and analytics-based decision support in Signals One.

    See how MPO in Signals One accelerates antibody selection 

    Drug Discovery for Every Modality

    Signals is the cloud software suite that accelerates drug discovery for every modality, enabling your team to confidently advance from concept to candidate.
     

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