Inferring the structure and dynamics of network models is critical to understanding the functionality and control of complex systems, such as metabolic and regulatory biological …
JL Wilson, T Nägele, M Linke, F Demel, SD Fritsch… - Cell reports, 2020 - cell.com
Mechanistic or mammalian target of rapamycin complex 1 (mTORC1) is an important regulator of effector functions, proliferation, and cellular metabolism in macrophages. The …
T Çakır, MJ Khatibipour - Frontiers in Bioengineering and …, 2014 - frontiersin.org
The primary focus in the network-centric analysis of cellular metabolism by systems biology approaches is to identify the active metabolic network for the condition of interest. Two major …
S Pryke, S Badi, H Almadhoob… - Project …, 2018 - journals.sagepub.com
While significant importance is given to establishing formal organizational and contractual hierarchies, existing project management techniques neglect the management of self …
Theobroma cacao and its popular product, chocolate, are attracting attention due to potential health benefits including antioxidative effects by polyphenols, anti‐depressant effects by …
Motivation One central goal of systems biology is to infer biochemical regulations from large- scale OMICS data. Many aspects of cellular physiology and organismal phenotypes can be …
W Weckwerth - Frontiers in Applied Mathematics and Statistics, 2019 - frontiersin.org
System theory has its roots in mathematical formalisms developed by mathematicians and physicists, such as Leibniz, Euler, and Newton, and applied by congenial chemists and …
B E. Ebert, C Halbfeld, L M. Blank - Current Metabolomics, 2017 - benthamdirect.com
Background: Volatile organic compounds (VOCs) are small molecular mass substances, which exhibit high-vapor pressures, low boiling points, and lipophilic character. VOCs are …
Reverse engineering metabolome data to infer metabolic interactions is a challenging research topic. Here we introduce JacLy, a Jacobian-based method to infer metabolic …