AIMC Topic: Metabolic Networks and Pathways

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New chemicals fuel the evolution of microbial biodegradation.

Microbiology and molecular biology reviews : MMBR
Most known chemicals originate from humans, thousands enter industrial usage annually, and new chemicals pose a continuous challenge to microbial evolution. The evolution of microbes to biodegrade new chemicals is crucial in protecting human and ecos...

Metabolite Identification Data in Drug Discovery, Part 1: Data Generation and Trend Analysis.

Molecular pharmaceutics
In drug discovery, metabolite identification data are used to identify metabolic soft spots in research molecules to facilitate reduced metabolism in subsequently designed compounds. In addition, knowledge about exact metabolite structures enables th...

Machine learning and data-driven inverse modeling of metabolomics unveil key processes of active aging.

NPJ systems biology and applications
Physical inactivity and low fitness have become global health concerns. Metabolomics, as an integrative approach, may link fitness to molecular changes. In this study, we analyzed blood metabolomes from elderly individuals under different treatments....

Challenges and Opportunities in Smart Biosensing for Biomanufacturing.

ACS synthetic biology
Traditional metabolic engineering has largely focused on the direct construction of synthetic metabolic pathways, often overlooking the critical role of regulation. In contrast, natural metabolic pathways are inherently tightly regulated, enabling ro...

Plasma Metabolomics and Machine Learning Reveals Metabolic Alterations and Diagnostic Biomarkers for Deep Venous Thrombosis in Hypertensive Patients after Traumatic Fracture.

Journal of proteome research
We aimed to explore the metabolic dysregulations and diagnostic biomarkers for post-traumatic deep venous thrombosis (pt-DVT) in hypertensive (HPT) patients after fracture. An untargeted ultraperformance liquid chromatography-mass spectrometry-based ...

The screen of the key differential taste substances and its metabolic pathways for different grades of Jinhua hams based on untargeted metabolomics.

Food chemistry
Different grades of Jinhua hams have distinct tastes. However, the key differential taste substances and its metabolic pathways among the four grades of Jinhua ham have not been studied. This study used TVB-N to analyze the degree of protein oxidatio...

Modeling host-pathway dynamics at the genome scale with machine learning.

Metabolic engineering
Pathway engineering offers a promising avenue for sustainable chemical production. The design of efficient production systems requires understanding complex host-pathway interactions that shape the metabolic phenotype. While genome-scale metabolic mo...

Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder.

Scientific reports
Major depressive disorder (MDD) is a multifactorial disorder involving genetic and environmental factors, with unclear pathogenesis. This study aims to explore the pathogenic pathway of MDD and its relationship with immune responses and to discover i...

Harnessing plant metabolic pathways for innovative diabetes management: unlocking the therapeutic potential of medicinal plants.

Plant signaling & behavior
The exploration of plant signaling pathways is transforming the way diabetes is managed, providing new, multi-target strategies for controlling this complex metabolic disorder. Medicinal plants are rich in bioactive compounds like phytohormones, flav...

An integrated AI knowledge graph framework of bacterial enzymology and metabolism.

Proceedings of the National Academy of Sciences of the United States of America
The study of bacterial metabolism holds immense significance for improving human health and advancing agricultural practices. The prospective applications of genomically encoded bacterial metabolism present a compelling opportunity, particularly in t...