Editorial Summary :

Researchers at Ruhr-Universität Bochum (RUB) describe a way to use AI to reliably predict the structure of certain RNA molecules from their nucleotide sequence . AI can learn subtle patterns from the cellular environment based on known structures . For the learning process, the AI needs sufficient training data, and this is lacking in practice . The work will be published in the journal PLOS Computational Biology on July 7, 2022 . The AI was able to reliably recognize and predict the typical structure of the transcription terminators of certain bacterial RNA molecules . The research team was able to prove this using publicly available experimental data . “While AI approaches are now almost inevitable in the prediction of protein structures, the development of RNA structures is only just beginning,” Axel Mosig says . The team says the research is now “almost inevitable” in predicting protein structures using AI approaches to predict RNA structures . The research is published in the journal Nature Nature Nature, published online on October 1, 2015 . For confidential support call the Samaritans on 08457 909090 or visit a local Samaritans branch, see www.samaritans.org .

Key Highlights :

  • Researchers at Ruhr-Universität Bochum (RUB) describe a way to use AI to predict the structure of certain RNA molecules from their nucleotide sequence .
  • The research team was able to prove this using publicly available experimental data .
  • “While AI approaches are now almost inevitable in the prediction of protein structures, the development of RNA structures is only just beginning,” Axel Mosig says .

The editorial is based on the content sourced from phys.org

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