Productive Protein Characterisation - Accelerate Time to Insight

Protein characterisation is central to understanding biological systems, developing therapeutics, and ensuring product quality. As the complexity of proteins and their interactions increases, researchers need technologies that provide reliable, nuanced insights—ideally without adding complexity to the workflow.

FIDA (Flow-Induced Dispersion Analysis) offers a fresh perspective on protein characterisation. It enables detailed, in-solution analysis of proteins and complexes under native-like conditions, providing absolute measurements and multi-parametric data in a single assay, often without the need for purification or complex preparation. The result? Deeper insights, faster workflows, and more productive use of both samples and researcher time.

Unlike traditional approaches, which often depend on immobilization, labeling optimization, or batch separation, FIDA relies on a label-on-target principle. This allows measurements to be taken directly in native or complex sample environments, including plasma, fermentation media, or lysates. At the core of the method is the hydrodynamic radius—an absolute size measurement that reflects molecular structure, conformation, and interaction state. Shifts in size allow researchers to detect binding events, conformational changes, or aggregation, without relying on inferred or indirect values.

Faster Answers Without Compromising Data Quality

Traditional protein characterisation methods often involve multi-step protocols, labeling optimization, or immobilization. FIDA eliminates many of these steps:

• Label-on-target design enables measurements directly in complex matrices (e.g., plasma, fermentation media)
• Absolute size readout (hydrodynamic radius) gives immediate insight into molecular structure, conformation, or binding
• No need to set up multiple instruments or perform parallel assays—affinity, size, and aggregation are accessible from a single run

This reduction in hands-on time translates directly into increased lab productivity and quicker iteration cycles.

Multi-Dimensional Data from a Single Measurement - Complex Protein Characterisation

What sets FIDA apart is its ability to combine multiple layers of information into a single readout. Alongside size, the system quantifies binding affinity (Kd) and in-solution kinetics (kon and koff), detects aggregation and oligomerization with high sensitivity, and provides insights into labeling quality and sample integrity. It even enables accurate protein quantification—without needing to purify the sample.

FIDA simplifies the complexity of protein science by delivering multiple key parameters in one go:

• Binding affinity (Kd) and in-solution kinetics (kon/koff)
• Aggregation profiling, including subtle oligomeric shifts
• Conformational state and structural changes via Rh shifts
• Labeling quality and sample loss detection for built-in assay control
• Quantification of the protein of interest, even in native matrices

All of these outputs come from one assay, meaning fewer experiments are needed to reach a conclusion. This not only shortens time to insight but also reduces the likelihood of error or variability between methods. For labs working across multiple projects or under tight timelines, this kind of efficiency has a measurable impact on productivity.

Applications in Protein Research

FIDA technology supports a wide range of protein characterisation workflows, including:

• Studying protein-ligand and protein-protein interactions
• Assessing conformational changes and folding states
• Monitoring batch-to-batch comparability in biologics development
• Investigating post-translational modifications via size shifts
• Evaluating protein stickiness and non-specific interactions in early screening

Whether you’re optimizing expression systems, validating constructs, or developing new therapeutics, FIDA provides insight that goes beyond conventional methods.

Enabling Protein Science Without the Bottlenecks

In protein science, the complexity of the questions rarely matches the simplicity of the tools. FIDA bridges that gap—providing clarity, speed, and reliability in one platform. Whether you are investigating protein folding, exploring ligand binding, or ensuring batch comparability for a biologic, FIDA enables you to move from experiment to insight without delay.

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