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September 10, 2025Journal of Chemical Theory and Computation

Massively Parallel Free Energy Calculations for In Silico Affinity Maturation of Designed Miniproteins

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Authors

DNDylan NovackSZSi ZhangVVVincent A. Voelz

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Overview

Observational analysis reveals in silico affinity maturation can enhance binding proteins' prediction accuracy, suggesting new approaches in computational design.

Key Points

  • Affinity maturation improves prediction accuracy by using massively parallel free energy calculations.
  • Relative binding free energy calculations exhibited accuracies around 2 kcal/mol when compared to experimental data.
  • The study utilized a systematic comparison of methods, including Flex ddG and expanded ensemble approaches.
  • Findings highlight the potential of simulation-based methods for enhancing the efficiency and accuracy of protein design.

Cite This Study

Novack et al. (2025) studied this question.

synapsesocial.com/papers/68c1c64554b1d3bfb60f2856https://doi.org/10.1021/acs.jctc.5c00703
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