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Achieve Clarity on Your Biotherapeutic With Biologics Explorer Software

Achieve Clarity on Your Biotherapeutic With Biologics Explorer Software

Reach decisions on the most important critical quality attributes for biopharmaceuticals faster and more confidently.

Biologics Explorer software delivers highly accurate and informative workflows for fully characterizing protein biotherapeutics, leveraging the latest acquisition techniques and built on a heritage of proven performance. 

Support the most important LC-MS characterization assays right out of the box. The intuitive nodal structure is easy to optimize, so you can get exactly what you want from your assays. Available workflows include:

• Intact protein and subunit analysis

• Middle-down mAb fragment analysis, 

• Peptide mapping, 

• Disulfide bond and post-translational modifications PTM determination, 

• Multi-attribute methodology (MAM)

Click here for further information about Biologics Explorer software

Learn more about the ZenoTOF 7600 system

Product Specifications
Intact protein and subunit analysis Experience one simple solution that delivers critical visual and written data for the characterization of intact protein biotherapeutics. Confidently select lead candidates and help ensure reproducible product quality.
Middle-down mAB fragment analysis Perform comprehensive analysis of protein subunits, with templates optimized for biotherapeutic characterization. Achieve consistent high-sequence coverage, enable rapid method development and confident PTM localization with intuitive visual tools. Make decisions on candidate developability or product quality sooner.
Peptide mapping Maximize efficiency with pipeline specific workflow templates optimized based on needs: Quick and efficient peptide mapping for quality checks In-depth peptide mapping Detect unexpected modifications N-/O-glycan site specific mapping Isomer differentiation
Disulfide bond and post-translational modifications (PTM) determination Enable comprehensive identification and spectra annotation of complex peptides with disulfide linkages.
Multi-attribute methodology (MAM) Reduce overall analytical testing burden with ready-to-use workflow templates. Enable confident peptide mapping results and visualization tools, with the ability to export product quality attribute (PQA) lists to compliance-ready SCIEX OS software for quantification and monitoring.
Intabio ZT system Access multidimensional data from one integrated icIEF-UV/MS workflow. Within one layout simultaneously view UV electropherogram, results summary, MS data, deconvoluted ion map results and raw MS data to generate a single report for comprehensive overview of charge variants with peak identification.
Visualizations provide insight Next generation biologics are becoming more complex with more potential post-translational modifications and protein forms. This produces a vast amount of digital information from mass spec characterization. With the use of intuitive visualizations, Biologics Explorer software gets you from sample to insight - fast! The software provides the ability to immediately see patterns and features even in raw data, ensuring you don't miss identifying anything important.
Built for EAD Electron activated dissociation (EAD) in the ZenoTOF 7600 system breaks new ground in depth of coverage for peptide mapping and PTM analysis of biopharmaceuticals. EAD produces incredibly rich MS/MS spectra. Biologics Explorer software is critical for transforming those rich spectra into incredibly informative results. The data processing engine is optimized to extract the maximum amount of information from every CID and EAD spectrum.
Transparency from start to report Unlike Biologics Explorer, biologics characterization in some applications can leave you wondering how exactly the result was reached. The data can go in, and an answer can come out, without any clarity around how it happened. Biologics Explorer software is all about transparency. The workflow-based setup allows you to see all the steps of what is happening with optimization at each node to get the best out of your data.