Alchemite™ for Oligonucleotide Manufacturing
Accelerate process development
Alchemite™ provides a software solution customized for oligonucleotide manufacturing data, applying the power of machine learning to remove critical bottlenecks in process development.
With high specificity and the ability to treat a broad range of diseases, oligonucleotides are poised for a significant impact as therapeutics. However, these are large, complex molecules with challenging synthesis, purification, and analytical requirements. There are few products on the market and available manufacturing knowledge is often limited. Alchemite™ can help.
Alchemite™ for Oligonucleotide Manufacturing applies machine learning to assist across the full manufacturing process including synthesis, cleavage and deprotection, purification, and analytical method development.
Our customers say...
DOE to optimize process parameters
Machine learning-guided design of experiment (DOE) identifies sequence-specific optimal process parameters for Solid Phase Oligonucleotide Synthesis (SPOS). Enable construction of a complete, precise molecular structure during pre-production, recognising complex patterns missed by existing methods.
Generate new insights
Streamline data capture and analysis in mass spectroscopy workflows with easy upload mechanisms for different chromatography systems. The machine learning can then offer unique insights including breakdowns of impurity contributions, giving you confidence in impurity assignment.
Reduce critical impurities
Machine learning can use the oligonucleotide sequence and known impurity and process information to identify and propose routes to minimize impurities. This results in higher product yields and improved productivity, with fewer experiments required for process development.
Blog – meeting the oligonucleotide challenge
Built on collaboration, tailored for oligos workflows
Alchemite™ for Oligonucleotide Manufacturing was developed and validated with oligonucleotide experts at the Centre for Process Innovation (CPI), with direct input from six leading pharma companies and biotechs. It applies the powerful Alchemite™ machine learning (ML) method via a user interface tuned to the specific data upload, analysis, and prediction requirements of oligonucleotide manufacturing workflows. The solution enables routine process optimization with less input from senior experts, provides researchers with valuable new insights, and captures vital knowledge in ML models. Drive efficiency and innovation across your organisation while retaining corporate memory.
A complete solution
Alchemite™ for Oligonucleotide Manufacturing is an integrated package of software and partner services to help you maximize your oligonucleotide development productivity.
Alchemite™ apps
Straightforward web browser-based access to standard Alchemite™ tools plus extensions to handle SMILES chemical data and custom oligos workflows.
Alchemite™ platform
Background computations are enabled through cloud-based access to the powerful Alchemite™ machine learning algorithm.
Configuration support and ongoing partnership
We’ll support you to configure the system for your data, analytical tools, and specific analysis requirements. Our Science Team will help you gain maximum value from Alchemite™.
Further resources
Find out more about machine learning for oligonucleotide manufacturing and other life science R&D applications.
\n\nAccelerating data-driven oligonucleotide manufacturing](https://intellegens.com/accelerating-data-driven-oligonucleotide-manufacturing/)
\n\nRecorded webinar – How machine learning can accelerate oligonucleotide process development](https://intellegens.com/webinar-how-machine-learning-can-accelerate-oligonucleotide-process-development/)
\n\nAlchemite™ for Oligonucleotide Manufacturing harnesses AI to speed process development for new therapeutics](https://intellegens.com/alchemite-for-oligonucleotide-manufacturing-harnesses-ai-to-speed-process-development-for-new-therapeutics/)
Alchemite™ for Oligonucleotide Manufacturing - frequently asked questions...
How can I use machine learning in oligonucleotide research?
The Alchemite™ machine learning method has been used to help optimize process development. It ingests raw synthesis logs, deconvoluted mass spectrometry outputs, and reagent/yield data and creates a machine learning model. The Alchemite™ platform then provides uncertainty-quantified, sequence-specific recommendations that target the synthesis step first – automatically reducing impurity burden, improving crude yield, and cutting the number of experiments required.
How can I optimize oligonucleotide process parameters?
Alchemite™ machine learning uses data from known processes to build its model. For a new sequence, it can then identify sequence-specific optimal process parameters for Solid Phase Oligonucleotide Synthesis (SPOS).
How can I reduce impurities in my oligonucleotide manufacturing process?
Alchemite™ machine learning can use the oligonucleotide sequence and known impurity and process information to identify and propose routes to minimize impurities.
Has Alchemite™ been used in an oligonucleotide project?
Yes, our partners at CPI and a number of leading pharma and biotech partners validated Alchemite over a 2 year project studying oligonucleotide manufacturing. Details at: