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September 11, 2025InnovationOpen Access

The Role of Artificial Intelligence in Protein Structural and Functional Prediction: Current Status and Future Prospective

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Authors

AMAlebachew MollaGAGedif Meseret Abebe

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Overview

This review highlights AI's role in enhancing protein structural and functional prediction accuracy and efficiency.

Key Points

  • AI-driven methods significantly improve the accuracy of protein structural prediction through advanced algorithms.
  • Deep neural networks and protein language models enhance prediction accuracy beyond traditional methods in protein science.
  • AlphaFold2's breakthrough demonstrated near-experimental accuracy for protein structures, marking a pivotal moment in structural biology.
  • AI methodologies democratize access to complex biological data, accelerating discovery in proteomics and drug discovery.

Cite This Study

Molla et al. (2025) studied this question.

synapsesocial.com/papers/68d41711713b0b5dfea628b8https://doi.org/10.11648/j.innov.20250603.20
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