Pharma workflow digitalisation platform launched

Pharmaceutical R&D teams can use it to develop and validate processes for manufacturing

Informatics company ACD/Labs has released software for workflow digitalisation and data management in chemical and process development.

Called Katalyst D2D, the software is designed to streamline high throughput experimentation workflows to support a wider range of study DMTA cycles for process development and material characterisation studies.

“This release of Katalyst D2D is the direct result of close collaboration with key opinion leaders in the pharmaceutical industry,” said ACD/Labs VP of innovation and informatics strategy Andrew Anderson.

“By listening to the digital aspirations of project teams and scientific leaders, we’ve expanded the capabilities of Katalyst to address the most pressing challenges in pharmaceutical development. Our goal is to empower organizations to digitalize and accelerate the design-make-test-analyse (DMTA) cycle in pharmaceutical R&D.”

Pharmaceutical research and development project teams can now use Katalyst to rapidly develop and validate processes for manufacturing, accelerating the journey from discovery to clinical trials.

“Scientists want to leverage as much automation as possible to increase the pace of experimentation,” said Katalyst D2D solution area manager Alex Waked.

“This latest Katalyst release supports a wide variety of important experiment modalities, and with different project teams now able to work in the same software, scientists are empowered to share data and collaborate more easily. Ultimately, this will help organizations digitalize end-to-end workflows and accelerate drug development.”

Katalyst D2D is characterised by its comprehensive integration with third-party informatics systems, laboratory automation and execution hardware, and analytical instrument data.

By managing experimental data across workflows, Katalyst reduces transcription errors and provides context for experimental results. The software also supports automated experiment execution by generating machine-ready instruction lists for robotics platforms, automating the processing of analytical data and importing and managing data from a range of laboratory instruments.

Katalyst imports sampling data from a variety of laboratory instruments including IR/Raman, TGA, DSC, and Karl Fischer Titrators.

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