Affinity Screen: Screening libraries within minutes made possible

Importance of the Topic

Affinity Selection Mass Spectrometry (AS-MS) is a critical analytical approach for characterizing protein–ligand interactions in drug discovery and diagnostic research. By enabling simultaneous screening of hundreds of compounds in a single experiment, AS-MS accelerates the identification of binding partners and reduces resource consumption. However, the escalating data volume from high-throughput screenings demands robust automation to avoid bottlenecks, improve reproducibility, and support rapid decision-making.

Objectives and Overview

This work presents Affinity Screen, a software solution designed to streamline AS-MS data analysis. The main goals are to:

• Automate the processing of multiplexed LC-MS datasets
• Standardize peak assignment and compound matching
• Provide an end-to-end workflow with interactive review capabilities

Affinity Screen integrates into existing data infrastructures to accelerate hit identification and validation.

Methodology and Instrumentation

Affinity Screen supports vendor-neutral LC-MS platforms through Mnova and Mnova Gears. Key features include:

• Data Detection & Sorting – automatic classification of bound, unbound, and reference ligands per sample
• Peak Assignment – uses molecular formulas, SMILES, or mass values supplied via CSV to extract extracted ion chromatograms (EICs)
• Compound Mass Matching – applies customizable algorithms to match observed peaks with theoretical masses
• Binding Assessment – computes a binding score to discriminate hits from non-binders

The software orchestrates file import, data extraction, processing, and report generation without manual intervention.

Main Results and Discussion

Evaluation with multiplexed libraries demonstrated that Affinity Screen:

• Processes up to 200 ligands per well in minutes rather than hours
• Reduces manual data-handling errors by enforcing a standardized workflow
• Highlights ambiguous or overlapping peaks through real-time alerts
• Allows scientists to re-analyze flagged data without repeating experiments

The interactive dashboard facilitates review-by-exception and ensures consistent updates across all analysis outputs.

Benefits and Practical Applications

By automating laborious LC-MS data processing, Affinity Screen:

• Shortens the path from raw data to actionable insights
• Improves reproducibility and data integrity
• Frees researchers to focus on assay design and interpretation
• Supports hit discovery in pharmaceutical, biotech, and academic laboratories

Future Trends and Possibilities

Emerging directions include integration of artificial intelligence for enhanced peak deconvolution, cloud-based collaboration for distributed teams, and expanded support for novel ion mobility and native MS platforms. Custom scripting APIs will further tailor the workflow to specialized assays.

Conclusion

Affinity Screen addresses a critical need in high-throughput AS-MS by delivering a comprehensive, automated pipeline that ensures precision, reproducibility, and speed. Its integration with Mnova and low-code automation enhances lab informatics, enabling rapid hit identification and fostering innovation across analytical chemistry applications.