Machine learning-enabled retrobiosynthesis of molecules

T Yu, AG Boob, MJ Volk, X Liu, H Cui, H Zhao - Nature Catalysis, 2023 - nature.com
Retrobiosynthesis provides an effective and sustainable approach to producing functional
molecules. The past few decades have witnessed a rapid expansion of biosynthetic …

Networks and graphs discovery in metabolomics data analysis and interpretation

A Amara, C Frainay, F Jourdan, T Naake… - Frontiers in Molecular …, 2022 - frontiersin.org
Both targeted and untargeted mass spectrometry-based metabolomics approaches are used
to understand the metabolic processes taking place in various organisms, from prokaryotes …

Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction

F Li, L Yuan, H Lu, G Li, Y Chen, MKM Engqvist… - Nature Catalysis, 2022 - nature.com
Enzyme turnover numbers (k cat) are key to understanding cellular metabolism, proteome
allocation and physiological diversity, but experimentally measured k cat data are sparse …

eQuilibrator 3.0: a database solution for thermodynamic constant estimation

ME Beber, MG Gollub, D Mozaffari… - Nucleic acids …, 2022 - academic.oup.com
Abstract eQuilibrator (equilibrator. weizmann. ac. il) is a database of biochemical equilibrium
constants and Gibbs free energies, originally designed as a web-based interface. While the …

Rhea, the reaction knowledgebase in 2022

P Bansal, A Morgat, KB Axelsen… - Nucleic acids …, 2022 - academic.oup.com
Abstract Rhea (https://www. rhea-db. org) is an expert-curated knowledgebase of
biochemical reactions based on the chemical ontology ChEBI (Chemical Entities of …

Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP

S Zheng, T Zeng, C Li, B Chen, CW Coley… - Nature …, 2022 - nature.com
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 …

Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning

A Kroll, Y Rousset, XP Hu, NA Liebrand… - Nature …, 2023 - nature.com
The turnover number k cat, a measure of enzyme efficiency, is central to understanding
cellular physiology and resource allocation. As experimental k cat estimates are unavailable …

Merging enzymatic and synthetic chemistry with computational synthesis planning

I Levin, M Liu, CA Voigt, CW Coley - Nature Communications, 2022 - nature.com
Synthesis planning programs trained on chemical reaction data can design efficient routes
to new molecules of interest, but are limited in their ability to leverage rare chemical …

Machine learning for the advancement of genome-scale metabolic modeling

P Kundu, S Beura, S Mondal, AK Das, A Ghosh - Biotechnology Advances, 2024 - Elsevier
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

Mixotrophic growth of a ubiquitous marine diatom

M Kumar, JD Tibocha-Bonilla, Z Füssy, C Lieng… - Science …, 2024 - science.org
Diatoms are major players in the global carbon cycle, and their metabolism is affected by
ocean conditions. Understanding the impact of changing inorganic nutrients in the oceans …