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September 5, 2025Open Access

AI and Machine Learning in Biology: From Genes to Proteins

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Authors

ZHZaw Myo HeinDGDhanyashri GuruparanBOBlaire Okunsai

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Overview

This review demonstrates how AI and ML influence protein structure and genomics, highlighting recent breakthroughs.

Key Points

  • AI and ML methods have notably improved the prediction of protein structures and gene function.
  • Breakthroughs like AlphaFold showcase significant advancements in understanding complex biological systems.
  • Deep learning models, including transformers and graph neural networks, play vital roles in genomics analysis.
  • Challenges such as data quality and model interpretability must be addressed for effective AI integration.

Cite This Study

Hein et al. (2025) studied this question.

synapsesocial.com/papers/68c23922b210217d6477a5eehttps://doi.org/10.20944/preprints202508.1952.v1
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  1. 1The Role of Artificial Intelligence in Protein Structural and Functional Prediction: Current Status and Future Prospective2025
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  5. 5Harnessing Machine Learning and Artificial Intelligence for Omics Data Analysis2025