Machine learning-enabled retrobiosynthesis of molecules
Retrobiosynthesis provides an effective and sustainable approach to producing functional
molecules. The past few decades have witnessed a rapid expansion of biosynthetic …
molecules. The past few decades have witnessed a rapid expansion of biosynthetic …
Designing microbial cell factories for the production of chemicals
The sustainable production of chemicals from renewable, nonedible biomass has emerged
as an essential alternative to address pressing environmental issues arising from our heavy …
as an essential alternative to address pressing environmental issues arising from our heavy …
RetroBioCat as a computer-aided synthesis planning tool for biocatalytic reactions and cascades
As the enzyme toolbox for biocatalysis has expanded, so has the potential for the
construction of powerful enzymatic cascades for efficient and selective synthesis of target …
construction of powerful enzymatic cascades for efficient and selective synthesis of target …
Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP
The complete biosynthetic pathways are unknown for most natural products (NPs), it is thus
valuable to make computer-aided bio-retrosynthesis predictions. Here, a navigable and user …
valuable to make computer-aided bio-retrosynthesis predictions. Here, a navigable and user …
An automated Design-Build-Test-Learn pipeline for enhanced microbial production of fine chemicals
The microbial production of fine chemicals provides a promising biosustainable
manufacturing solution that has led to the successful production of a growing catalog of …
manufacturing solution that has led to the successful production of a growing catalog of …
[HTML][HTML] Automating the design-build-test-learn cycle towards next-generation bacterial cell factories
Automation is playing an increasingly significant role in synthetic biology. Groundbreaking
technologies, developed over the past 20 years, have enormously accelerated the …
technologies, developed over the past 20 years, have enormously accelerated the …
Machine learning modeling of family wide enzyme-substrate specificity screens
Biocatalysis is a promising approach to sustainably synthesize pharmaceuticals, complex
natural products, and commodity chemicals at scale. However, the adoption of biocatalysis …
natural products, and commodity chemicals at scale. However, the adoption of biocatalysis …
Getting the Most Out of Enzyme Cascades: Strategies to Optimize In Vitro Multi-Enzymatic Reactions
In vitro enzyme cascades possess great benefits, such as their synthetic capabilities for
complex molecules, no need for intermediate isolation, and the shift of unfavorable equilibria …
complex molecules, no need for intermediate isolation, and the shift of unfavorable equilibria …
The isoprenoid alcohol pathway, a synthetic route for isoprenoid biosynthesis
The more than 50,000 isoprenoids found in nature are all derived from the 5-carbon
diphosphates isopentenyl pyrophosphate (IPP) and dimethylallyl pyrophosphate (DMAPP) …
diphosphates isopentenyl pyrophosphate (IPP) and dimethylallyl pyrophosphate (DMAPP) …
A computational workflow for the expansion of heterologous biosynthetic pathways to natural product derivatives
J Hafner, J Payne, H MohammadiPeyhani… - Nature …, 2021 - nature.com
Plant natural products (PNPs) and their derivatives are important but underexplored sources
of pharmaceutical molecules. To access this untapped potential, the reconstitution of …
of pharmaceutical molecules. To access this untapped potential, the reconstitution of …