Publication Details

Computational design of enzymes for biotechnological applications

PLANAS-IGLESIAS, J.; PINTO, G.; MARQUES, S.; MUSIL, M.; DAMBORSKÝ, J.; ŠTOURAČ, J.; BEDNÁŘ, D. Computational design of enzymes for biotechnological applications. BIOTECHNOLOGY ADVANCES, 2021, vol. 47, no. 1, p. 1-22. ISSN: 0734-9750.
Czech title
Výpočetní návrh enzymů pro biotechnologické aplikace
Type
journal article
Language
English
Authors
Planas-Iglesias Joan
Pinto Gaspar P.
MARQUES, S.
Musil Miloš, Ing., Ph.D. (DIFS)
Damborský Jiří, prof. Mgr., Dr. (UMEL)
Štourač Jan
Bednář David
URL
Keywords

biocatalyst,catalytic efficiency,computational enzyme
design,enzyme,biotechnologies,protein engineering,protein
dynamics,software,solubility,stability

Abstract

Enzymes are the natural catalysts that execute biochemical reactions upholding
life. Their natural effectiveness has been fine-tuned as a result of millions of
years of natural evolution. Such catalytic effectiveness has prompted the use of
biocatalysts from multiple sources on different applications, including the
industrial production of goods (food and beverages, detergents, textile, and
pharmaceutics), environmental protection, and biomedical applications. Natural
enzymes often need to be improved by protein engineering to optimize their
function in non-native environments. Recent technological advances have greatly
facilitated this process by providing the experimental approaches of directed
evolution or by enabling computer-assisted applications. Directed evolution
mimics the natural selection process in a highly accelerated fashion at the
expense of arduous laboratory work and economic resources. Theoretical methods
provide predictions and represent an attractive complement to such experiments by
waiving their inherent costs. Computational techniques can be used to engineer
enzymatic reactivity, substrate specificity and ligand binding, access pathways
and ligand transport, and global properties like protein stability, solubility,
and flexibility. Theoretical approaches can also identify hotspots on the protein
sequence for mutagenesis and predict suitable alternatives for selected positions
with expected outcomes. This review covers the latest advances in computational
methods for enzyme engineering and presents many successful case studies.

Published
2021
Pages
1–22
Journal
BIOTECHNOLOGY ADVANCES, vol. 47, no. 1, ISSN 0734-9750
DOI
UT WoS
000623948300009
EID Scopus
BibTeX
@article{BUT169805,
  author="PLANAS-IGLESIAS, J. and PINTO, G. and MARQUES, S. and MUSIL, M. and DAMBORSKÝ, J. and ŠTOURAČ, J. and BEDNÁŘ, D.",
  title="Computational design of enzymes for biotechnological applications",
  journal="BIOTECHNOLOGY ADVANCES",
  year="2021",
  volume="47",
  number="1",
  pages="1--22",
  doi="10.1016/j.biotechadv.2021.107696",
  issn="0734-9750",
  url="https://doi.org/10.1016/j.biotechadv.2021.107696"
}
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