A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes
Directed evolution is an important research activity in synthetic biology and biotechnology.
Numerous reports describe the application of tedious mutation/screening cycles for the …
Numerous reports describe the application of tedious mutation/screening cycles for the …
Recent advances in structure‐based enzyme engineering for functional reconstruction
SY Xu, L Zhou, Y Xu, HY Hong, C Dai… - Biotechnology and …, 2023 - Wiley Online Library
Structural information can help engineer enzymes. Usually, specific amino acids in particular
regions are targeted for functional reconstruction to enhance the catalytic performance …
regions are targeted for functional reconstruction to enhance the catalytic performance …
Machine learning in enzyme engineering
Enzyme engineering plays a central role in developing efficient biocatalysts for
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
biotechnology, biomedicine, and life sciences. Apart from classical rational design and …
Computational design gains momentum in enzyme catalysis engineering
HJ Wijma, DB Janssen - The FEBS journal, 2013 - Wiley Online Library
Computational protein design is becoming a powerful tool for tailoring enzymes for specific
biotechnological applications. When applied to existing enzymes, computational re‐design …
biotechnological applications. When applied to existing enzymes, computational re‐design …
De novo enzymes by computational design
H Kries, R Blomberg, D Hilvert - Current opinion in chemical biology, 2013 - Elsevier
Computational enzyme design has emerged as a promising tool for generating made-to-
order biocatalysts. In addition to improving the reliability of the design cycle, current efforts in …
order biocatalysts. In addition to improving the reliability of the design cycle, current efforts in …
Machine learning-assisted enzyme engineering
Directed evolution and rational design are powerful strategies in protein engineering to tailor
enzyme properties to meet the demands in academia and industry. Traditional approaches …
enzyme properties to meet the demands in academia and industry. Traditional approaches …
Revolutionizing enzyme engineering through artificial intelligence and machine learning
The combinatorial space of an enzyme sequence has astronomical possibilities and
exploring it with contemporary experimental techniques is arduous and often ineffective …
exploring it with contemporary experimental techniques is arduous and often ineffective …
Computational protein engineering: bridging the gap between rational design and laboratory evolution
A Barrozo, R Borstnar, G Marloie… - International Journal of …, 2012 - mdpi.com
Enzymes are tremendously proficient catalysts, which can be used as extracellular catalysts
for a whole host of processes, from chemical synthesis to the generation of novel biofuels …
for a whole host of processes, from chemical synthesis to the generation of novel biofuels …
Designing artificial enzymes by intuition and computation
The rational design of artificial enzymes, either by applying physico–chemical intuition of
protein structure and function or with the aid of computational methods, is a promising area …
protein structure and function or with the aid of computational methods, is a promising area …
Physics‐based enzyme design: Predicting binding affinity and catalytic activity
S Sirin, DA Pearlman… - … : Structure, Function, and …, 2014 - Wiley Online Library
Computational enzyme design is an emerging field that has yielded promising success
stories, but where numerous challenges remain. Accurate methods to rapidly evaluate …
stories, but where numerous challenges remain. Accurate methods to rapidly evaluate …