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Machine learning-aided engineering of hydrolases for PET depolymerization

📅 April 27, 2022 👤 Hongyuan Lu, Daniel J. Diaz, Natalie J. Czarnecki et al. 📖 Nature 📊 1,139 citations

🤖 Plain-English Summary

This research explores Machine learning-aided engineering of hydrolases for PET dep..., contributing new insights to the field of Engineering & Technology.

🔑 Key Findings

  • Research demonstrates significant advances in system performance metrics
  • Study provides new evidence regarding design optimization results
  • Findings open new directions for implementation feasibility

💡 Why This Matters

These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.

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📋 Article Details

Category ⚙️ Engineering & Technology
Published Apr 27, 2022
Journal Nature
Authors Hongyuan Lu, Daniel J. Diaz, Natalie J. Czarnecki, Congzhi Zhu, Wantae Kim
DOI 10.1038/s41586-022-04599-z
Citations 1,139
Source OpenAlex

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