scholarly journals Computational systems biology and in silico modeling of the human microbiome

2012 ◽  
Vol 13 (6) ◽  
pp. 769-780 ◽  
Author(s):  
E. Borenstein
Keyword(s):  
Systems Biology ◽  
In Silico ◽  
Human Microbiome ◽  
Computational Systems Biology ◽  
In Silico Modeling ◽  
Computational Systems

Infobiotics Workbench: An In Silico Software Suite for Computational Systems Biology

2021 ◽  
pp. 71-99
Author(s):  
Gexiang Zhang ◽  
Mario J. Pérez-Jiménez ◽  
Augustín Riscos-Núñes ◽  
Sergey Verlan ◽  
Savas Konur ◽  
...  
Keyword(s):  
Systems Biology ◽  
In Silico ◽  
Computational Systems Biology ◽  
Software Suite ◽  
Computational Systems

scholarly journals Metabolic Reprogramming of Fibroblasts as Therapeutic Target in Rheumatoid Arthritis and Cancer: Deciphering Key Mechanisms Using Computational Systems Biology Approaches

Cancers ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 35
Author(s):  
Sahar Aghakhani ◽  
Naouel Zerrouk ◽  
Anna Niarakis
Keyword(s):  
Rheumatoid Arthritis ◽  
Extracellular Matrix ◽  
Systems Biology ◽  
Healing Process ◽  
Metabolic Reprogramming ◽  
Critical Event ◽  
Wound Healing Process ◽  
Computational Systems Biology ◽  
Structural Framework ◽  
Computational Systems

Fibroblasts, the most abundant cells in the connective tissue, are key modulators of the extracellular matrix (ECM) composition. These spindle-shaped cells are capable of synthesizing various extracellular matrix proteins and collagen. They also provide the structural framework (stroma) for tissues and play a pivotal role in the wound healing process. While they are maintainers of the ECM turnover and regulate several physiological processes, they can also undergo transformations responding to certain stimuli and display aggressive phenotypes that contribute to disease pathophysiology. In this review, we focus on the metabolic pathways of glucose and highlight metabolic reprogramming as a critical event that contributes to the transition of fibroblasts from quiescent to activated and aggressive cells. We also cover the emerging evidence that allows us to draw parallels between fibroblasts in autoimmune disorders and more specifically in rheumatoid arthritis and cancer. We link the metabolic changes of fibroblasts to the toxic environment created by the disease condition and discuss how targeting of metabolic reprogramming could be employed in the treatment of such diseases. Lastly, we discuss Systems Biology approaches, and more specifically, computational modeling, as a means to elucidate pathogenetic mechanisms and accelerate the identification of novel therapeutic targets.

Computational Systems Biology Applications

2019 ◽  
pp. 66-73
Author(s):  
Ayako Yachie-Kinoshita ◽  
Sucheendra K. Palaniappan ◽  
Samik Ghosh
Keyword(s):  
Systems Biology ◽  
Computational Systems Biology ◽  
Computational Systems

The Biodegradation Network, a New Scenario for Computational Systems Biology Research

2005 ◽  
pp. 252-256
Author(s):  
Florencio Pazos ◽  
David Guijas ◽  
Manuel J. Gomez ◽  
Almudena Trigo ◽  
Victor de Lorenzo ◽  
...  
Keyword(s):  
Systems Biology ◽  
Computational Systems Biology ◽  
Computational Systems ◽  
Biology Research
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