TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms

Area of Science:

• Biophysics
• Biochemistry
• Computational Biology

Background:

• Label-free techniques like Surface Plasmon Resonance (SPR) and Biolayer Interferometry (BLI) are crucial for studying bimolecular interactions.
• Analyzing binding kinetics data from these platforms can be complex and time-consuming.

Purpose of the Study:

• To develop a high-throughput analysis tool, TitrationAnalysis, for efficient and accurate analysis of SPR and BLI binding kinetics data.
• To provide a user-friendly solution requiring minimal scripting knowledge.

Main Methods:

• Development of the TitrationAnalysis package for Mathematica.
• Utilizing Mathematica's non-linear curve-fitting module for data analysis.
• Application to antibody-antigen binding data from Biacore T200, Carterra LSA, and ForteBio Octet Red384 platforms.

Main Results:

• TitrationAnalysis accurately estimates association (k_a) and dissociation (k_d) rate constants, and apparent dissociation constants (K_d).
• Results closely matched those obtained from commercial analysis software specific to the instruments.
• The tool demonstrated high throughput and automatic fitting capabilities.

Conclusions:

• TitrationAnalysis offers a powerful, versatile, and accurate alternative for biomolecular interaction characterization.
• The customizable output facilitates downstream data quality control, including Good Clinical Laboratory Practice operations.
• This tool enhances the efficiency of analyzing label-free binding kinetics data across multiple platforms.