Cited by 28Protein Structure and DynamicsEnzyme Catalysis and ImmobilizationEnzyme Structure and Function

Mutexa: A Computational Ecosystem for Intelligent Protein Engineering

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Yang, Zhongyue J., Shao, Qianzhen, Jiang, Yaoyukun, Jurich, Christopher, Ran, Xinchun, Juarez, Reecan J., Yan, Bailu, Stull, Sebastian L. +2 more·2023·Journal of Chemical Theory and Computation

Published version of a preprint

Abstract

Protein engineering holds immense promise in shaping the future of biomedicine and biotechnology. This Review focuses on our ongoing development of Mutexa, a computational ecosystem designed to enable "intelligent protein engineering". In this vision, researchers will seamlessly acquire sequences of protein variants with desired functions as biocatalysts, therapeutic peptides, and diagnostic proteins through a finely-tuned computational machine, akin to Amazon Alexa's role as a versatile virtual assistant. The technical foundation of Mutexa has been established through the development of a database that combines and relates enzyme structures and their respective functions (e.g., IntEnzyDB), workflow software packages that enable high-throughput protein modeling (e.g., EnzyHTP and LassoHTP), and scoring functions that map the sequence-structure-function relationship of proteins (e.g., EnzyKR and DeepLasso). We will showcase the applications of these tools in benchmarking the convergence conditions of enzyme functional descriptors across mutants, investigating protein electrostatics and cavity distributions in SAM-dependent methyltransferases, and understanding the role of nonelectrostatic dynamic effects in enzyme catalysis. Finally, we will conclude by addressing the future steps and fundamental challenges in our endeavor to develop new Mutexa applications that assist the identification of beneficial mutants in protein engineering.

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Authors
Yang, Z. J., Shao, Q., Jiang, Y., Jurich, C., Ran, X., Juarez, R. J., Yan, B., Stull, S. L., Gollu, A., & Ding, N.
Affiliations
Vanderbilt University (US)
Corresponding author
Yang, Zhongyue J.
Venue
Journal of Chemical Theory and Computation
Published
2023-10-13
Volume
19
Issue
21
Pages
7459-7477
ISSN
  • 1549-9618 (ISSN-L)
  • 1549-9626
OpenAlex
W4387600363
Cited by
28
References
207
Citations by year
2026: 10 · 2025: 9 · 2024: 8 · 2023: 1
FWCI
0.74
Type
journal article
Language
en
Open access
Locations
  • Journal of Chemical Theory and Computation (publishedVersion, cc-by-nc-nd)
  • ChemRxiv (acceptedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
Funders
  • Vanderbilt University
  • National Institute of General Medical Sciences (R35GM146982)
  • Rosetta Commons
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Enzyme Catalysis and Immobilization
  • Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
Keywords
protein engineering, enzyme design, sequence-structure-function relationships, SAM-dependent methyltransferase, protein electrostatics, protein cavities, peptide therapeutics, diagnostic proteins, biocatalysts
MeSH terms
Proteins, Protein Engineering

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