实例探究 > Automated Software-Driven MAM Implementation for Biotherapeutic Characterization

Automated Software-Driven MAM Implementation for Biotherapeutic Characterization

公司规模
SME
地区
  • America
国家
  • United States
产品
  • Genedata Expressionist
技术栈
  • Liquid Chromatography-Mass Spectrometry (LC-MS)
  • Multi-Attribute Method (MAM)
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Innovation Output
技术
  • 分析与建模 - 大数据分析
适用行业
  • 药品
  • 医疗保健和医院
适用功能
  • 质量保证
  • 产品研发
用例
  • 质量预测分析
服务
  • 数据科学服务
关于客户
Just Biotherapeutics is an integrated design company that focuses on technologies that will accelerate the development of biotherapeutics and substantially reduce their manufacturing cost. The company is based in Seattle, Washington, USA and has been a customer since 2017. Just Biotherapeutics is part of the MAM consortium, which includes biotherapeutic manufacturers, instrument and software vendors, and government agencies in the USA (NIST and the FDA) and Japan. The goal of the consortium is to enable the BioPharma community to implement a robust mass-spectrometry-based method for biotherapeutic characterization and release of biotherapeutics from QC.
挑战
Just Biotherapeutics faced several challenges in analyzing biotherapeutics using mass spectrometry-based methods. The large amount of data generated by comprehensive in-depth characterization was a major challenge, as it required frequent analysis of various samples and large-scale studies. Current solutions often relied on multiple software packages and manual transfer, making data processing and analysis a major bottleneck in the biopharmaceutical development process. Additionally, the richness of MS data often led to the generation of large numbers of false-positive identifications, which had to be manually investigated, a process that was typically laborious and time-consuming. MAM monitoring systems also needed to deliver efficient, reproducible, and reliable detection of new or unexpected peaks. Lastly, the development and manufacturing of biopharmaceutical molecules generated data from a multitude of sources, requiring a data system that could manage and collate large amounts of disparate data.
解决方案
Just Biotherapeutics implemented Genedata Expressionist, a software that processes and analyzes data from any MS instrument using fully automatable and configurable workflows. The software uses metadata to directly apply specific parameters to individual data sets at any step, offering complete control over each experiment while boosting productivity by increasing throughput and eliminating laborious manual intervention. Genedata Expressionist workflows are highly flexible and are designed to automate processes specific to each user. Each step of the workflow can be controlled by user-definable settings, offering an unparalleled level of control during MS data processing. For example, signals can be filtered according to their intensity, charge, or presence in a given proportion of samples. This provides an efficient method for reducing the number of false-positive identifications, while ensuring that genuine contaminants are not overlooked. The software also takes all available MS data into account during MAM new peak detection, greatly increasing the likelihood that unexpected contaminants and product variants are detected.
运营影响
  • Increased productivity: Using optimized Genedata Expressionist workflows, data processing for MAM monitoring can be fully automated, enabling processing of hundreds of samples per week with very little manual interaction.
  • Easier collaboration and better decision-making: The enterprise nature of Genedata Expressionist facilitates knowledge transfer and harmonizes processes within and between labs and provides every user within an organization with fast and easy access to all relevant knowledge on a given biopharmaceutical.
  • Less time required for data review and triage: Knowledge-based grouping and filtering of spurious signals greatly reduces the number of false-positive signals and consequently the time required for data review and curation.
  • Intuitive, dynamic reporting enabling fast responses: The highly configurable reporting functionalities that are part of Genedata Expressionist can provide intuitive overviews of all stages of data processing.
  • Efficient detection of new and unexpected peaks: In contrast to approaches that rely solely on predefined peak lists, Genedata Expressionist takes all available MS data into account during MAM new peak detection, greatly increasing the likelihood that unexpected contaminants and product variants are detected.
数量效益
  • Increased throughput of data processing for MAM monitoring, enabling processing of hundreds of samples per week with very little manual interaction.
  • Significant reduction in the number of false-positive signals and consequently the time required for data review and curation.

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