Machine Learning to Predict Enzyme–Substrate Interactions in Elucidation of Synthesis Pathways: A Review
Enzyme–substrate interactions play a fundamental role in elucidating synthesis pathways
and synthetic biology, as they allow for the understanding of important aspects of a reaction …
and synthetic biology, as they allow for the understanding of important aspects of a reaction …
Thioesterase enzyme families: Functions, structures, and mechanisms
Thioesterases are enzymes that hydrolyze thioester bonds in numerous biochemical
pathways, for example in fatty acid synthesis. This work reports known functions, structures …
pathways, for example in fatty acid synthesis. This work reports known functions, structures …
Overcoming barriers to medium-chain fatty alcohol production
Highlights•mc FaOHs are valuable oleochemicals that demand development of a
sustainable source..•Substrate selectivity and product toxicity hinder microbial mc FaOH …
sustainable source..•Substrate selectivity and product toxicity hinder microbial mc FaOH …
Evaluation of strategies to narrow the product chain-length distribution of microbially synthesized free fatty acids
The dominant strategy for tailoring the chain-length distribution of free fatty acids (FFA)
synthesized by heterologous hosts is expression of a selective acyl-acyl carrier protein …
synthesized by heterologous hosts is expression of a selective acyl-acyl carrier protein …
Relative Activities of the β-Ketoacyl-CoA and Acyl-CoA Reductases Influence the Product Profile and Flux in a Reversed β-Oxidation Pathway
The β-oxidation pathway, normally involved in the catabolism of fatty acids, can be
functionally made to act as a fermentative, iterative, elongation pathway when driven by the …
functionally made to act as a fermentative, iterative, elongation pathway when driven by the …
Multi-omics approaches and resources for systems-level gene function prediction in the plant kingdom
In higher plants, the complexity of a system and the components within and among species
are rapidly dissected by omics technologies. Multi-omics datasets are integrated to infer and …
are rapidly dissected by omics technologies. Multi-omics datasets are integrated to infer and …
Expanding the synthetic biology toolbox of Cupriavidus necator for establishing fatty acid production
Abstract The Gram-negative betaproteobacterium Cupriavidus necator is a chemolithotroph
that can convert carbon dioxide into biomass. Cupriavidus necator has been engineered to …
that can convert carbon dioxide into biomass. Cupriavidus necator has been engineered to …
Machine learning model of the catalytic efficiency and substrate specificity of acyl-ACP thioesterase variants generated from natural and in vitro directed evolution
Modulating the catalytic activity of acyl-ACP thioesterase (TE) is an important
biotechnological target for effectively increasing flux and diversifying products of the fatty …
biotechnological target for effectively increasing flux and diversifying products of the fatty …
Decoding substrate specificity determining factors in glycosyltransferase-B enzymes-Insights from machine learning models
Substrate specificity is an essential characteristic of any enzyme's function and an
understanding of the factors that determine this specificity is crucial for enzyme engineering …
understanding of the factors that determine this specificity is crucial for enzyme engineering …
Machine learning-assisted discovery of cytochromes P450 putatively involved in the biosynthesis of Amaryllidaceae alkaloids in Crinum asiaticum
M Valderruten Cajiao - 2025 - repositorio.uniandes.edu.co
Amaryllidaceae alkaloids (AAs) represent a valuable class of plant specialized metabolites
with diverse pharmacological properties. However, the discovery of enzymes involved in AA …
with diverse pharmacological properties. However, the discovery of enzymes involved in AA …