TetraScience Case Studies Improving Protein Purification through Data Science: A Case Study on Alexion Pharmaceuticals

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	Improving Protein Purification through Data Science: A Case Study on Alexion Pharmaceuticals TetraScience

Improving Protein Purification through Data Science: A Case Study on Alexion Pharmaceuticals

TetraScience

Technology Category	Analytics & Modeling - Big Data Analytics Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries	Equipment & Machinery Pharmaceuticals
Applicable Functions	Product Research & Development
Use Cases	Time Sensitive Networking
Services	Data Science Services System Integration
Challenge	Alexion Pharmaceuticals, a biopharmaceutical company, was facing several challenges in its downstream process development operations. The company was struggling with data silos as instrument vendors did not integrate with one another, leading to manual data movement. The proprietary data formats of vendors required their specific tools, which hampered third-party data standardization. Additionally, informatics leads had to manually move, update, and curate files from multiple locations. Scientists were also required to enter peak information into analytical software themselves. Furthermore, existing dashboarding tools had steep learning curves and could not manage metadata. Scientists were constantly needing to test their hypotheses and derive useful insights from heterogeneous data sources. Read More
About Customer	Alexion Pharmaceuticals, Inc. is a biopharmaceutical company that focuses on serving patients with devastating and rare disorders through the development and commercialization of life-transforming therapeutics. The company's product focus includes research novel molecules and targets in the complement cascade and the development efforts in the core therapeutic areas of hematology, nephrology, neurology, metabolic and cardiology. Alexion tackles rare diseases using biologic therapeutics, transforming the lives of many patients affected by devastating conditions such as generalized Myasthenia Gravis (gMG) and Hypophosphatasia (HPP). Read More
Solution	Alexion Pharmaceuticals adopted the Tetra Data Platform (TDP) to overcome these challenges. The TDP transfers, standardizes, and harmonizes siloed data in the cloud. New data is indexed via ElasticSearch and structured into SQL tables to enable searches and queries. TetraScience’s pipelines standardize and structure data for downstream visualization, storage, or AI/ML insights. Data flows from source to the cloud to ELN and data science targets without any manual intervention. The TetraScience API can be used to funnel harmonized data into data science applications. Consuming this data in customizable data science applications like Streamlit provides scientists full control over chromatogram overlays and integration. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Platform as a Service (PaaS) - Application Development Platforms

Applicable Industries

Equipment & Machinery

Pharmaceuticals

Applicable Functions

Product Research & Development

Use Cases

Time Sensitive Networking

Services

Data Science Services

System Integration

Challenge

Alexion Pharmaceuticals, a biopharmaceutical company, was facing several challenges in its downstream process development operations. The company was struggling with data silos as instrument vendors did not integrate with one another, leading to manual data movement. The proprietary data formats of vendors required their specific tools, which hampered third-party data standardization. Additionally, informatics leads had to manually move, update, and curate files from multiple locations. Scientists were also required to enter peak information into analytical software themselves. Furthermore, existing dashboarding tools had steep learning curves and could not manage metadata. Scientists were constantly needing to test their hypotheses and derive useful insights from heterogeneous data sources.

About Customer

Alexion Pharmaceuticals, Inc. is a biopharmaceutical company that focuses on serving patients with devastating and rare disorders through the development and commercialization of life-transforming therapeutics. The company's product focus includes research novel molecules and targets in the complement cascade and the development efforts in the core therapeutic areas of hematology, nephrology, neurology, metabolic and cardiology. Alexion tackles rare diseases using biologic therapeutics, transforming the lives of many patients affected by devastating conditions such as generalized Myasthenia Gravis (gMG) and Hypophosphatasia (HPP).

Solution

Alexion Pharmaceuticals adopted the Tetra Data Platform (TDP) to overcome these challenges. The TDP transfers, standardizes, and harmonizes siloed data in the cloud. New data is indexed via ElasticSearch and structured into SQL tables to enable searches and queries. TetraScience’s pipelines standardize and structure data for downstream visualization, storage, or AI/ML insights. Data flows from source to the cloud to ELN and data science targets without any manual intervention. The TetraScience API can be used to funnel harmonized data into data science applications. Consuming this data in customizable data science applications like Streamlit provides scientists full control over chromatogram overlays and integration.

Impact #1	The implementation of the Tetra Data Platform (TDP) has brought significant operational benefits to Alexion Pharmaceuticals. The automation of data transfer and harmonization has reduced complexity and manual errors, allowing for streamlined downstream analysis via data science applications. This has led to improved data-driven decision making, with results calculated and generated much faster. The TDP has also improved transparency and future-proofing, with versatile pipelines that are configurable and extensible to handle a rich set of technologies and formats. This has streamlined reporting and transparency across the Alexion organization. Furthermore, the TDP has empowered Alexion scientists to identify the best protein purification strategy, leading to higher data quality, greater scalability, and increased efficiency at multiple levels within its Downstream Process Development operations.

Impact #1

The implementation of the Tetra Data Platform (TDP) has brought significant operational benefits to Alexion Pharmaceuticals. The automation of data transfer and harmonization has reduced complexity and manual errors, allowing for streamlined downstream analysis via data science applications. This has led to improved data-driven decision making, with results calculated and generated much faster. The TDP has also improved transparency and future-proofing, with versatile pipelines that are configurable and extensible to handle a rich set of technologies and formats. This has streamlined reporting and transparency across the Alexion organization. Furthermore, the TDP has empowered Alexion scientists to identify the best protein purification strategy, leading to higher data quality, greater scalability, and increased efficiency at multiple levels within its Downstream Process Development operations.

Benefit #1	Saved 2+ hours per week, per scientist of manual file transfer work
Benefit #2	Reduced manual errors; Results are directly calculated and derived from raw data
Benefit #3	Improved data-driven decision making; Result is calculated and generated much faster

Benefit #1

Saved 2+ hours per week, per scientist of manual file transfer work

Benefit #2

Reduced manual errors; Results are directly calculated and derived from raw data

Benefit #3

Improved data-driven decision making; Result is calculated and generated much faster

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Overview

Improving Protein Purification through Data Science: A Case Study on Alexion Pharmaceuticals

Operational Impact

Quantitative Benefit