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Challenges in Bridging the Gap Between Protein Structure Prediction and Functional Interpretation
  • Mihaly Varadi,
  • Maxim Tsenkov,
  • Sameer Velankar
Mihaly Varadi
European Bioinformatics Institute
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Maxim Tsenkov
European Bioinformatics Institute
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Sameer Velankar
European Bioinformatics Institute

Corresponding Author:sameer@ebi.ac.uk

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Abstract

The rapid evolution of protein structure prediction tools has significantly broadened access to protein structural data. Although predicted structure models have the potential to accelerate and impact fundamental and translational research significantly, it is essential to note that they are not validated and cannot be considered the ground truth. Thus, challenges persist, particularly in capturing protein dynamics, predicting multi-chain structures, interpreting protein function, and assessing model quality. Interdisciplinary collaborations are crucial to overcoming these obstacles. Databases like the AlphaFold Protein Structure Database, the ESM Metagenomic Atlas, and initiatives like the 3D-Beacons Network provide FAIR access to these data, enabling their interpretation and application across a broader scientific community. Whilst substantial advancements have been made in protein structure prediction, further progress is required to address the remaining challenges. Developing training materials, nurturing collaborations, and ensuring open data sharing will be paramount in this pursuit. The continued evolution of these tools and methodologies will deepen our understanding of protein function and accelerate disease pathogenesis and drug development discoveries.
30 Jun 2023Submitted to PROTEINS: Structure, Function, and Bioinformatics
30 Jun 2023Submission Checks Completed
30 Jun 2023Assigned to Editor
30 Jun 2023Review(s) Completed, Editorial Evaluation Pending
03 Jul 2023Reviewer(s) Assigned
13 Sep 2023Editorial Decision: Revise Minor
26 Sep 20231st Revision Received
01 Oct 2023Submission Checks Completed
01 Oct 2023Assigned to Editor
01 Oct 2023Review(s) Completed, Editorial Evaluation Pending
04 Oct 2023Editorial Decision: Accept