From nature to industry: Harnessing enzymes for biocatalysis
Biocatalysis harnesses enzymes to make valuable products. This green technology is used
in countless applications from bench scale to industrial production and allows practitioners …
in countless applications from bench scale to industrial production and allows practitioners …
Machine learning-guided protein engineering
Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …
machine learning methods. These methods leverage existing experimental and simulation …
Enzyme function prediction using contrastive learning
Enzyme function annotation is a fundamental challenge, and numerous computational tools
have been developed. However, most of these tools cannot accurately predict functional …
have been developed. However, most of these tools cannot accurately predict functional …
Opportunities and challenges for machine learning-assisted enzyme engineering
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 …
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
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 …
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
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 …
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
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 …
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 …
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 …
(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 …
biological microorganisms to mitigate pollution. This review combines insights from two …