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 …
Functional annotation of enzyme-encoding genes using deep learning with transformer layers
Functional annotation of open reading frames in microbial genomes remains substantially
incomplete. Enzymes constitute the most prevalent functional gene class in microbial …
incomplete. Enzymes constitute the most prevalent functional gene class in microbial …
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
Engineering extracellular electron transfer pathways of electroactive microorganisms by synthetic biology for energy and chemicals production
J Zhang, F Li, D Liu, Q Liu, H Song - Chemical Society Reviews, 2024 - pubs.rsc.org
The excessive consumption of fossil fuels causes massive emission of CO2, leading to
climate deterioration and environmental pollution. The development of substitutes and …
climate deterioration and environmental pollution. The development of substitutes and …
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 …
Building enzymes through design and evolution
EJ Hossack, FJ Hardy, AP Green - ACS Catalysis, 2023 - ACS Publications
Designing efficient enzymes is a formidable challenge at the forefront of modern
biocatalysis. Here, we review recent developments in the field and illustrate how the …
biocatalysis. Here, we review recent developments in the field and illustrate how the …
New Insights into the Cooperativity and Dynamics of Dimeric Enzymes
KW Chen, TY Sun, YD Wu - Chemical Reviews, 2023 - ACS Publications
A survey of protein databases indicates that the majority of enzymes exist in oligomeric
forms, with about half of those found in the UniProt database being homodimeric …
forms, with about half of those found in the UniProt database being homodimeric …
Accelerating biocatalysis discovery with machine learning: a paradigm shift in enzyme engineering, discovery, and design
B Markus, K Andreas, K Arkadij, L Stefan, O Gustav… - ACS …, 2023 - ACS Publications
Emerging computational tools promise to revolutionize protein engineering for biocatalytic
applications and accelerate the development timelines previously needed to optimize an …
applications and accelerate the development timelines previously needed to optimize an …
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 …