case study 1

50x faster screening with FIDA

How did Tozaro boost their screening throughputfrom 6 to up to 288 samples daily, reducing monthsof work to just days?

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Tozaro (Previously MIP Discovery / Diagnostics) ingeniously reimagined its affinity reagentscreening workflow using FIDA, transforming interaction analysis from slow and laborintensive to fast and precise. The benefit? They managed to achieve greater efficiency,scalability, and decision-making power in molecular interaction analysis.

Problems

Traditional techniques such as Surface Plasmon Resonance (SPR) createdthroughput bottlenecks, limiting the ability to evaluate large polymer libraries quickly andcost-effectively.

Solutions

FIDA-Driven Workflow:

Primary Screen →

Rapid elimination ofnon-binders using afluorescently labeledindicator. Throughput:up to 3× 96-wellplates/day (288samples).

ConfirmatoryScreen →

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Kd Determination →

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Reverse Titration →

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After these steps, only selected candidates are progressed to SPR to assess surfaceimmobilization effects, eliminating the need for SPR in primary screening. By their innovativeadaptation of FIDA, Tozaro replaced SPR for most polymer interaction screening analyses,streamlining research and accelerating discovery.

The benefits?

By replacing SPR with FIDA for polymer interaction analysis, Tozaro streamlined research, reduced time-to-decision, and dramatically increased efficiency in polymer screening workflows.

SPR:

16+ days | ~6 polymers/day

FIDA:
30min - 3 hours | up to 288 polymers/day

Ask yourself, what could you do with such time and sample savings?

case study 2

100% Plasma binding measurements

that change big pharma’s workflows

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How did a large pharmaceutical company measure binding affinityand kinetics in-solution & in 100% plasma?

A big, German, pharma company had the ambition to measure Kd and binding kinetics in100% plasma to correlate it with values from surface based technologies in buffer solutions -& they succeeded by using the right technology to do so.

Problems

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Solutions

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What they discovered?

These differences highlighted why early validation of in-solution kinetics in plasma is critical to avoid investing in misleading buffer-based data. The in-solution Kd in plasma was 8×weaker than in buffer, revealing how plasma components affect affinity. On-rates were 5× slower, and off-rates were 2× faster in plasma than in buffer. The difference between buffer and plasma is clearly distinguishable with FIDA technology.

The benefits?

  • The gain of physiologically relevant kinetic data early in the drug development process.
  • By integrating early-stage FIDA measurementsin 100% plasma, they streamlined their workflow,improved candidate selection,and minimized late-stage failures.
  • The insights allowed them to confidently prioritize viabledrug candidates, avoid costly setbacks, and makemore reliable, physiologically relevant decisions.
  • Ultimately accelerating the drug development process while reducing costs.
case study 3

Screening denovo designedprotein binders inunpurified lysate

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Problems

Computational design produces binders at scale, but screening themefficiently is the bottleneck. Traditional validation does not provide structural data, requirespurified material and multiple assays to determine whether a design binds with sufficientaffinity and stability, slowing down the transition from design to decision.

Solutions

By providing functional and structural data in a single measurement and directly from crude expression material, FIDA allows evaluation of binding, stability, and solution behaviour at an early stage. This shifts validation from a sequential, resource-intensive process to an early, decision-driven step.

How to screen de novo design protein binders in unpurified lysate using flow induced dispersion analysis?

Lear about streamline binder

Screening de novo designed protein bindersin unpurified lysate using flow induceddispersion analysis

If we sparked your curiosity, go ahead, book a discovery call to explore if FIDA could be something just right for you.

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