Mila is our state-of-the-art molecular research facility built entirely in ones and zeros. Using next-generation machine learning and simulation capabilities, Mila consistently and instantly delivers the best possible assay for any use case.
Mila is a comprehensive platform for AI-powered multiplex PCR design and optimization, resulting in state-of-the-art analytic performance.
Condense the strenuous, manual R&D process for multiplex PCR into a single algorithm.
Include only the targets you need in a single multiplex reaction for lower costs per experiment.
All Mila-designed kits are compatible with our cloud-based LIMS for automated interpretation and traceability.
Optimization using machine learning algorithms yields unparalleled performance
Mila is a comprehensive platform for AI-powered multiplex PCR design and optimization, resulting in state-of-the-art analytic performance, and enabling powerful downstream applications in next-generation sequencing and melting curve analysis.
Condense the strenuous, manual R&D process for multiplex PCR into a single algorithm.
Include only the targets you need in a single multiplex reaction for lower costs per experiment.
All Mila-designed kits are compatible with our cloud-based LIMS for automated interpretation and traceability.
Optimization using machine learning algorithms yields unparalleled performance
Obtain the best possible primer and probe set for any multiplex PCR reaction.
qPCR with hydrolysis probes (TaqMan)
End-Point PCR with AI-Interpreted HRM Signature.
NGS. from amplicon library.
In a typical multiplex PCR reaction, the accuracy of the results depends on the choice of primers, probes and reaction conditions. Given the astronomical number of possibilities, selecting the best design by trial and error is nearly impossible.
A typical qPCR assay requires three oligonucleotides (“oligos”): one forward primer, one reverse primer, and one hydrolysis probe for each target. Each of these oligos must be selected from many possibilities. Furthermore, the best primer/probe set for one target may no longer be the best option once a second target is added, since the second set of oligos can interact with the first. In a modest 4-target qPCR reaction, depicted in the figure above, there may be more possible primer/probe combinations than there are stars in the milky way galaxy. Finding the best combination by trial-and-error is nearly impossible.
A typical qPCR assay requires three oligonucleotides (“oligos”): one forward primer, one reverse primer, and one hydrolysis probe for each target. Each of these oligos must be selected from many possibilities. Furthermore, the best primer/probe set for one target may no longer be the best option once a second target is added, since the second set of oligos can interact with the first. In a modest 4-target qPCR reaction, depicted in the figure above, there may be more possible primer/probe combinations than there are stars in the milky way galaxy. Finding the best combination by trial-and-error is nearly impossible.
Mila is an end-to-end, automated, AI-based solution to the multiplex PCR design problem. Using next-generation machine learning and simulation capabilities, Mila consistently and instantly delivers the best possible test for any use case, condensing the months-long R&D process into a few rapid computations.
Mila is a comprehensive platform for in silico PCR design. It retrieves and aligns all published sequences for the targets of interest, distinguishing sequencing errors from true variants and removing them. BLAST algorithms are used to select primers that effectively exclude potential off-target hybridizations while ensuring inclusivity. The remaining primer/probe sets undergo extensive thermodynamic modelling and AI-based optimization to select the set with the highest efficiency and lowest probability of undesirable interactions. This is accomplished in a computationally efficient manner, without testing every possibility. The algorithm considers a comprehensive range of variables, including the thermodynamics of nucleic acids, differences between fluorophores, melting and annealing temperatures, secondary structures, and the chemical properties of the reaction (pH, salt concentrations, other reagents, etc.)
Mila is a comprehensive platform for in silico PCR design. It retrieves and aligns all published sequences for the targets of interest, distinguishing sequencing errors from true variants and removing them. BLAST algorithms are used to select primers that effectively exclude potential off-target hybridizations while ensuring inclusivity. The remaining primer/probe sets undergo extensive thermodynamic modelling and AI-based optimization to select the set with the highest efficiency and lowest probability of undesirable interactions. This is accomplished in a computationally efficient manner, without testing every possibility. The algorithm considers a comprehensive range of variables, including the thermodynamics of nucleic acids, differences between fluorophores, melting and annealing temperatures, secondary structures, and the chemical properties of the reaction (pH, salt concentrations, other reagents, etc.)
Mila has the potential to revolutionize molecular biology, accelerating innovation in every field, from food safety to microbiome research. Learn how Mila has been implemented in your industry by reading our case studies.
Do you manage an operation that requires customized molecular testing? Are you interested in partnering with TAAG to develop new applications of Mila? Fill out our contact form below to begin a conversation.