Dotmatics

From Here to Byosphere Webinar Overview

The webinar "From Here to Byosphere" by Protein Metrics highlights how Lonza, a global biotherapeutic CDMO, addresses the challenges of increasing mass spectrometry data volume and diverse molecule analysis by transitioning from the Byos desktop application to the flexible, vendor-neutral Byosphere software, enabling tailored workflows, improved data processing efficiency, and enhanced analytical control for complex protein biotherapeutics throughout the product lifecycle.

Join Protein Metrics for an upcoming webinar, From Here to Byosphere. This session will explore a global biotherapeutic CDMO’s approach to mass spectrometry (MS) data processing for an ever-increasing range of molecule types.

The landscape of analytics is evolving due to the growing variety of protein biotherapeutics and the need for more data to support decision-making early in the product lifecycle. Mass spectrometry is being integrated into more aspects of analytical control strategies for increasingly complex molecules, with higher demands for throughput, speed, and data quality.

As a CDMO, Lonza utilizes a range of MS instruments to analyze the full spectrum of molecule types requested by customers. To ensure continuity in data reporting for both internal and external stakeholders, Lonza required a vendor-neutral MS processing software with the flexibility to adapt to different molecule classes. As the molecules analyzed diversify beyond standard monoclonal antibodies (mAbs), there is a growing need for data to inform decisions earlier in the product lifecycle. Alongside a more MS-focused approach to IND and BLA submissions, Lonza has experienced an exponential increase in MS data volume in recent years. Protein Metrics was selected as the software solution to address these MS processing challenges. The increasing data volume and throughput requirements led to outgrowing the initial Byos desktop application and beginning the transition to Byosphere.

Learnings:

  1. 1.The importance of flexible data acquisition, processing, and reporting to quickly adapt when analyzing diverse molecule types.
  2. 2.How customized base workflows, which can be tailored to specific molecules, provide continuity in analysis while allowing for product- or purpose-specific adaptation.
  3. 3.The need to re-evaluate data handling and processing approaches as data throughput increases, and how smart software solutions can improve efficiency by eliminating downtime from moving large data volumes and prioritizing analysis jobs.

Event Details

  • Date: November 8, 2023
  • Time: 15:00 CET
  • Format: Virtual