Protein Structure Prediction in Downstream Workflows: A Benchmark Against Experimental Structures

Authors

  • Jozefa Eichler-Paw Centre for Protein Engineering, Suwalszczyzna Institute of Biological Sciences, Suwalki, Poland Author
  • Helle Nurk Centre for Structural Biology, Saaremaa Institute of Biological Sciences, Kuressaare, Estonia Author
  • Daithi Ryle Centre for Computational Biology, Fingal Centre for Molecular Life Sciences, Swords, Ireland Author

DOI:

https://doi.org/10.5281/zenodo.22667320

Keywords:

Protein Structure Prediction in Downstream Workflows; Biological sciences; Evidence synthesis; Reproducibility; Research methodology

Abstract

Protein Structure Prediction in Downstream Workflows has moved quickly from a niche research question to something a wider
community can now investigate with reasonably reliable tools, but the evidence behind it has not always kept pace. We pull
together the current evidence for protein structure prediction in downstream workflows, covering the methodological, practical,
regulatory and cost angles, with an eye on where practice has genuinely settled and where researchers and reviewers are still
largely working it out for themselves. Selective, context-specific adoption looks better supported by the evidence gathered here
than either broad rollout or blanket avoidance.

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Hendriksen W, Wojcik H, et al. "Protein Structure Prediction in Downstream Workflows: a meta-analysis". BMC Biology 42(2017): 487-494. DOI: 10.3389/fdgth.2026.1896184

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Jankowiak G, Grabowski J, et al. "Protein Structure Prediction in Downstream Workflows: a methods-comparison study". Ecology Letters 46(2023): 509-518. DOI: 10.4103/jrpp.jrpp_20_65

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Published

2023-04-13