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Beyond protein lists: AI-assisted interpretation of proteomic investigations in the context of evolving scientific knowledge

Nature Methods volume 21, pages 1387–1389 (2024)Cite this article

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Mass spectrometry-based proteomics provides broad and quantitative detection of the proteome, but its results are mostly presented as protein lists. Artificial intelligence approaches will exploit prior knowledge from literature and harmonize fragmented datasets to enable mechanistic and functional interpretation of proteomics experiments.

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Fig. 1: Future artificial intelligence approaches for interpreting proteomics experiments.

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Acknowledgements

B.M.G. is supported by award HR00112220036 under the DARPA ASKEM and ARPA-H BDF programs. O.V. is supported by National Institutes of Health award NIAR01AG078755.

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Authors and Affiliations

  1. Barnett Institute for Chemical and Biological Analysis, Northeastern University, Boston, MA, USA

    Benjamin M. Gyori & Olga Vitek

  2. Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA

    Benjamin M. Gyori & Olga Vitek

  3. Department of Bioengineering, College of Engineering, Northeastern University, Boston, MA, USA

    Benjamin M. Gyori

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  1. Benjamin M. Gyori
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  2. Olga Vitek
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Correspondence to Benjamin M. Gyori or Olga Vitek.

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Gyori, B.M., Vitek, O. Beyond protein lists: AI-assisted interpretation of proteomic investigations in the context of evolving scientific knowledge. Nat Methods 21, 1387–1389 (2024). https://doi.org/10.1038/s41592-024-02324-4

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