From nature to industry: Harnessing enzymes for biocatalysis

R Buller, S Lutz, RJ Kazlauskas, R Snajdrova… - Science, 2023 - science.org
Biocatalysis harnesses enzymes to make valuable products. This green technology is used
in countless applications from bench scale to industrial production and allows practitioners …

Machine learning-guided protein engineering

P Kouba, P Kohout, F Haddadi, A Bushuiev… - ACS …, 2023 - ACS Publications
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Enzyme function prediction using contrastive learning

T Yu, H Cui, JC Li, Y Luo, G Jiang, H Zhao - Science, 2023 - science.org
Enzyme function annotation is a fundamental challenge, and numerous computational tools
have been developed. However, most of these tools cannot accurately predict functional …

Opportunities and challenges for machine learning-assisted enzyme engineering

J Yang, FZ Li, FH Arnold - ACS Central Science, 2024 - ACS Publications
Enzymes can be engineered at the level of their amino acid sequences to optimize key
properties such as expression, stability, substrate range, and catalytic efficiency─ or even to …

Biocatalytic reductive aminations with NAD (P) H-dependent enzymes: enzyme discovery, engineering and synthetic applications

B Yuan, D Yang, G Qu, NJ Turner, Z Sun - Chemical Society Reviews, 2024 - pubs.rsc.org
Chiral amines are pivotal building blocks for the pharmaceutical industry. Asymmetric
reductive amination is one of the most efficient and atom economic methodologies for the …

[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects

G Obaido, ID Mienye, OF Egbelowo… - Machine Learning with …, 2024 - Elsevier
Drug discovery and development is a time-consuming process that involves identifying,
designing, and testing new drugs to address critical medical needs. In recent years, machine …

Machine learning-enabled genome mining and bioactivity prediction of natural products

Y Yuan, C Shi, H Zhao - ACS synthetic biology, 2023 - ACS Publications
Natural products (NPs) produced by microorganisms and plants are a major source of drugs,
herbicides, and fungicides. Thanks to recent advances in DNA sequencing, bioinformatics …

Learning from Protein Engineering by Deconvolution of Multi‐Mutational Variants

F Hollmann, J Sanchis, MT Reetz - … Chemie International Edition, 2024 - Wiley Online Library
This review analyzes a development in biochemistry, enzymology and biotechnology that
originally came as a surprise. Following the establishment of directed evolution of …

Production of biobased ethylbenzene by cascade biocatalysis with an engineered photodecarboxylase

Z Qin, Y Zhou, Z Li, M Höhne… - Angewandte Chemie …, 2024 - Wiley Online Library
Production of commodity chemicals, such as benzene, toluene, ethylbenzene, and xylenes
(BTEX), from renewable resources is key for a sustainable society. Biocatalysis enables one …

[HTML][HTML] A comprehensive review of sustainable bioremediation techniques: eco friendly solutions for waste and pollution management

N Kuppan, M Padman, M Mahadeva… - Waste Management …, 2024 - Elsevier
Bioremediation, an advanced and environmentally sustainable technology, utilizes
biological microorganisms to mitigate pollution. This review combines insights from two …