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Mutexa: A Computational Ecosystem for Intelligent Protein Engineering.

Zhongyue J Yang1,2,3,4,5, Qianzhen Shao1, Yaoyukun Jiang1

  • 1Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States.

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|October 13, 2023
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Summary
This summary is machine-generated.

Mutexa is a computational ecosystem for intelligent protein engineering, enabling researchers to design protein variants with desired functions. This system integrates databases, modeling software, and scoring functions for advanced protein design.

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Area of Science:

  • Biotechnology
  • Biomedicine
  • Computational Biology

Background:

  • Protein engineering is crucial for advancing biomedicine and biotechnology.
  • Current methods for designing protein variants with specific functions are often complex and time-consuming.

Purpose of the Study:

  • To introduce Mutexa, a computational ecosystem for intelligent protein engineering.
  • To provide researchers with a seamless way to acquire protein variant sequences with desired functions.

Main Methods:

  • Development of IntEnzyDB: a database relating enzyme structures and functions.
  • Creation of EnzyHTP and LassoHTP: workflow software for high-throughput protein modeling.
  • Implementation of EnzyKR and DeepLasso: scoring functions mapping sequence-structure-function relationships.

Main Results:

  • Demonstrated applications in benchmarking enzyme functional descriptors.
  • Investigated protein electrostatics and cavity distributions in SAM-dependent methyltransferases.
  • Highlighted the role of dynamic effects in enzyme catalysis.

Conclusions:

  • Mutexa provides a foundation for intelligent protein engineering.
  • Future development aims to enhance Mutexa's capabilities in identifying beneficial protein mutants.