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Do we use #AI at Nuclera? Yes. But not always in the way you might think. 𝗪𝗲 𝘂𝘀𝗲 𝗔𝗜 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗽𝗿𝗼𝘁𝗲𝗶𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲. Our 𝗲𝗣𝗿𝗼𝘁𝗲𝗶𝗻 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 software tracks every droplet moved by our digital microfluidic technology, ensuring each step of the screening workflow is executed precisely. This gives protein scientists confidence that their screening data is both accurate and reproducible. 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿? With digital microfluidics, we "instruct" droplets to move, split, merge, or stretch -- but how do we confirm the droplets actually behave as expected? That’s where our 𝗲𝗣𝗿𝗼𝘁𝗲𝗶𝗻 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 software comes in. Our software uses AI to evaluate droplet motion, flag deviations, and, in the future, will dynamically correct droplet errors -- ensuring every data point is trustworthy. 𝗔𝗜 𝗶𝗻 𝗣𝗿𝗼𝘁𝗲𝗶𝗻 𝗗𝗲𝘀𝗶𝗴𝗻? We worked with Google (Google Cloud) to integrate #AlphaFold2 into our 𝗲𝗣𝗿𝗼𝘁𝗲𝗶𝗻 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆 cloud software and plan to push this feature as an update later this year to bring easily accessible structure prediction directly into protein design workflows. Stay tuned for more information. Beyond that, we’re actively working with companies applying AI to protein design and structure prediction -- helping them turn cutting-edge algorithms into real proteins. If you're facing challenges validating an AI-designed protein -- or just trying to express a sequence straight from UniProt -- let’s talk. #ProteinScience #DigitalMicrofluidics #LabAutomation #AIinBiotech