Computational Design of Enzymes for Biotechnological Applications


Planas-Iglesias, J., Marques, S. M., Pinto, G. P., Musil, M., Stourac, J., Damborsky, J., Bednar, D.




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 match an optimal function in their non-native environments. Recent technological advances have greatly facilitated this process by providing experimental approaches of directed evolution or by enabling the 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 approaches 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.

Full text


Planas-Iglesias, J., Marques, S. M., Pinto, G. P., Musil, M., Stourac, J., Damborsky, J., Bednar, D., 2021: Computational Design of Enzymes for Biotechnological Applications. Biotechnology Advances 47: 107696.

David Awarded by MUNI Scientist Award
Tonda Succesfully Defended Doctoral Thesis
LL & Enantis Awarded by MUNI Innovation Award
Lucia’s Success at AMAVET Competition
Ph.D. Student Wanted
Martin Selected for Global Young Scientists Summit
Honza to Present at 17th P4EU Meeting