Results 21 to 30 of about 213,527 (258)

Benchmarking procedures for high-throughput context specific reconstruction algorithms

open access: yesFrontiers in Physiology, 2016
Recent progress in high-throughput data acquisition has shifted the focus from data generation to processing and understanding of how to integrate collected information.
Maria ePires Pacheco   +2 more
doaj   +1 more source

Pathway discovery in metabolic networks by subgraph extraction [PDF]

open access: yesBioinformatics, 2010
Abstract Motivation: Subgraph extraction is a powerful technique to predict pathways from biological networks and a set of query items (e.g. genes, proteins, compounds, etc.). It can be applied to a variety of different data types, such as gene expression, protein levels, operons or phylogenetic profiles.
Karoline Faust   +3 more
openaire   +3 more sources

Role of Ferroptosis in Lung Diseases

open access: yesJournal of Inflammation Research, 2021
Wenting Xu,1,2,* Huimin Deng,2,* Song Hu,2,3,* Yiguo Zhang,2,3 Li Zheng,1,2 Meiyun Liu,2 Yuanli Chen,2 Juan Wei,2 Hao Yang,2 Xin Lv1– 3 1Department of Anesthesiology, Fuyang Hospital of Anhui Medical University, Fuyang, Anhui, 236000, People&rsquo ...
Xu W   +9 more
doaj  

Peritoneal dialysis influences microRNA expression and pro-inflammatory response: results from a cross-sectional study [PDF]

open access: yesBrazilian Journal of Nephrology
Introduction: The investigation of circulating microRNAs (miRNAs) and inflammatory response associated with the different stages of chronic kidney disease (CKD) may reveal biomarkers of disease pathogenesis. Our goal was to identifying differences in the
Nara Aline Costa   +14 more
doaj   +1 more source

Metabolic Reprogramming in Triple-Negative Breast Cancer

open access: yesFrontiers in Oncology, 2020
Metabolic reprogramming is an emerging hallmark of cancer cells, in which cancer cells exhibit distinct metabolic phenotypes to fuel their proliferation and progression.
Xiangyu Sun   +9 more
doaj   +1 more source

Beyond the Biosynthetic Gene Cluster Paradigm: Genome-Wide Coexpression Networks Connect Clustered and Unclustered Transcription Factors to Secondary Metabolic Pathways

open access: yesMicrobiology Spectrum, 2021
Fungal secondary metabolites are widely used as therapeutics and are vital components of drug discovery programs. A major challenge hindering discovery of novel secondary metabolites is that the underlying pathways involved in their biosynthesis are ...
Min Jin Kwon   +8 more
doaj   +1 more source

Visual Network Analysis of Dynamic Metabolic Pathways [PDF]

open access: yes, 2010
We extend our previous work on the exploration of static metabolic networks to evolving, and therefore dynamic, pathways. We apply our visualization software to data from a simulation of early metabolism. Thereby, we show that our technique allows us to test and argue for or against different scenarios for the evolution of metabolic pathways.
Markus Rohrschneider   +4 more
openaire   +1 more source

The Metabolic Phenotype of Prostate Cancer

open access: yesFrontiers in Oncology, 2017
Prostate cancer is the most common non-cutaneous cancer in men in the United States. Cancer metabolism has emerged as a contemporary topic of great interest for improved mechanistic understanding of tumorigenesis.
Eric Eidelman   +5 more
doaj   +1 more source

Metabolic network visualization eliminating node redundance and preserving metabolic pathways [PDF]

open access: yesBMC Systems Biology, 2007
AbstractBackgroundThe tools that are available to draw and to manipulate the representations of metabolism are usually restricted to metabolic pathways. This limitation becomes problematic when studying processes that span several pathways. The various attempts that have been made to draw genome-scale metabolic networks are confronted with two ...
Romain Bourqui   +6 more
openaire   +3 more sources

Functional prediction of environmental variables using metabolic networks

open access: yesScientific Reports, 2021
In this manuscript, we propose a novel approach to assess relationships between environment and metabolic networks. We used a comprehensive dataset of more than 5000 prokaryotic species from which we derived the metabolic networks.
Adèle Weber Zendrera   +2 more
doaj   +1 more source

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