Applications of genome-scale metabolic models in biotechnology and systems medicine
C Zhang, Q Hua - Frontiers in physiology, 2016 - frontiersin.org
Genome-scale metabolic models (GEMs) have become a popular tool for systems biology,
and they have been used in many fields such as industrial biotechnology and systems …
and they have been used in many fields such as industrial biotechnology and systems …
Computational methods, databases and tools for synthetic lethality prediction
J Wang, Q Zhang, J Han, Y Zhao, C Zhao… - Briefings in …, 2022 - academic.oup.com
Synthetic lethality (SL) occurs between two genes when the inactivation of either gene alone
has no effect on cell survival but the inactivation of both genes results in cell death. SL …
has no effect on cell survival but the inactivation of both genes results in cell death. SL …
[HTML][HTML] Genome-scale identification of essential metabolic processes for targeting the Plasmodium liver stage
RR Stanway, E Bushell, A Chiappino-Pepe, M Roques… - Cell, 2019 - cell.com
Plasmodium gene functions in mosquito and liver stages remain poorly characterized due to
limitations in the throughput of phenotyping at these stages. To fill this gap, we followed …
limitations in the throughput of phenotyping at these stages. To fill this gap, we followed …
Identification of gene function based on models capturing natural variability of Arabidopsis thaliana lipid metabolism
Lipids play fundamental roles in regulating agronomically important traits. Advances in plant
lipid metabolism have until recently largely been based on reductionist approaches …
lipid metabolism have until recently largely been based on reductionist approaches …
Understanding the representative gut microbiota dysbiosis in metformin-treated type 2 diabetes patients using genome-scale metabolic modeling
Dysbiosis in the gut microbiome composition may be promoted by therapeutic drugs such as
metformin, the world's most prescribed antidiabetic drug. Under metformin treatment …
metformin, the world's most prescribed antidiabetic drug. Under metformin treatment …
Deciphering the metabolic capabilities of Bifidobacteria using genome-scale metabolic models
Bifidobacteria, the initial colonisers of breastfed infant guts, are considered as the key
commensals that promote a healthy gastrointestinal tract. However, little is known about the …
commensals that promote a healthy gastrointestinal tract. However, little is known about the …
Robustness encoded across essential and accessory replicons of the ecologically versatile bacterium Sinorhizobium meliloti
Bacterial genome evolution is characterized by gains, losses, and rearrangements of
functional genetic segments. The extent to which large-scale genomic alterations influence …
functional genetic segments. The extent to which large-scale genomic alterations influence …
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization
Synthetic lethality (SL) is a promising concept for novel discovery of anti-cancer drug targets.
However, wet-lab experiments for detecting SLs are faced with various challenges, such as …
However, wet-lab experiments for detecting SLs are faced with various challenges, such as …
SL-scan identifies synthetic lethal interactions in cancer using metabolic networks
Exploiting synthetic lethality is a promising strategy for developing targeted cancer
therapies. However, identifying clinically significant synthetic lethal (SL) interactions among …
therapies. However, identifying clinically significant synthetic lethal (SL) interactions among …
Network-Based Metabolism-Centered Screening of Potential Drug Targets in Klebsiella pneumoniae at Genome Scale
Klebsiella pneumoniae is an opportunistic bacterial pathogen leading to life-threatening
nosocomial infections. Emergence of highly resistant strains poses a major challenge in the …
nosocomial infections. Emergence of highly resistant strains poses a major challenge in the …