A free AI tool to quickly determine which protein labeling strategy works best for molecular interaction measurements
NanoTemper Technologies and PharmAI launch Proto
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Scientists in drug discovery need to detect and measure how well proteins bind to molecules, which requires labeling, usually with the aid of a dye. If the wrong labeling strategy is chosen, it leads to time-consuming and costly investigations.
"Proto makes use of more than 700,000 protein structures from AlphaFold or from the RCSB Protein Data Bank to suggest the appropriate dye for binding measurements," explains Christina Wolf, Data Scientist at NanoTemper. "This makes binding measurements more efficient and reliable, and it gives scientists additional confidence in their results."
This novel labeling prediction is another important step towards optimizing experiments in the field of biotechnology and the pharmaceutical industry with the help of artificial intelligence. "We want to help optimize research into diseases and therapeutics — that’s why we are making the tool free of charge," says Philipp Baaske, Co-CEO of NanoTemper. “There are numerous rare diseases that are currently unprofitable for large pharmaceutical companies to study. The possibilities offered by AI-based software could enable smaller laboratories to enter the field of drug research in the future and make new therapies possible with their work, benefiting us all,” adds Joachim Haupt, CEO of PharmAI.
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