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Exploring steric constraints on protein mutations using MAGE/PROBE.

J M Word1, R C Bateman, B K Presley

  • 1Department of Biochemistry, Duke University, Durham, North Carolina 27710-3711, USA.

Protein Science : a Publication of the Protein Society
|January 11, 2001
PubMed
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Predicting protein mutation success is simplified using MAGE/PROBE software. This tool analyzes all-atom contacts to assess side-chain compatibility, aiding in the interpretation of experimental results.

Area of Science:

  • Structural biology
  • Computational biology
  • Protein engineering

Background:

  • Interpreting protein mutation experiments requires assessing side-chain compatibility with existing structures.
  • Unfavorable steric clashes can complicate the analysis of mutational effects.

Purpose of the Study:

  • To present a computational method for evaluating side-chain compatibility in protein mutants.
  • To aid in selecting successful mutation experiments and understanding complex mutational outcomes.

Main Methods:

  • Utilizing the MAGE/PROBE system for interactive exploration of mutant side-chain conformational space.
  • Employing the Autobondrot function to systematically analyze all-atom contacts and generate contact scores.
  • Visualizing contact information using kinemage displays and contoured score maps.

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Main Results:

  • Successfully modeled the rescue of activity in a ricin A chain mutant by a neighboring glutamate.
  • Accurately predicted the necessity of structural shifts for six T4 lysozyme Leu mutations based on Autobondrot scores.
  • Identified specific clashes relieved by conformational changes in T4 lysozyme mutants through interactive contact analysis.

Conclusions:

  • The MAGE/PROBE system provides an accessible and effective means to predict side-chain compatibility.
  • This approach aids in rational protein design and the interpretation of experimental mutagenesis data.
  • The software is freely available for common operating systems, promoting its adoption in research.