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Machine Learning in Enzymology|David Christianson

Machine Learning in Enzymology : Volume 742

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Overview

This volume surveys cutting-edge machine learning-based approaches for the study of enzyme catalysis, dynamics, and design. It brings together computational and experimental approaches that integrate molecular simulation, machine learning, and high-throughput data to interrogate enzymatic catalysis at multiple scales. The chapters in the volume highlight how data-driven frameworks complement physics-based models to advance mechanistic understanding and enable rational enzyme engineering.

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Details

  • ISBN-13: 9780443432743
  • ISBN-10: 0443432740
  • Publisher: Academic Press
  • Publish Date: January 2027
  • Page Count: 258

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