scholarly journals MEMBRANE COMPUTING AS THE PARADIGM FOR MODELING SYSTEMS BIOLOGY

2013 ◽  
Vol 9 (1) ◽  
pp. 122-127 ◽  
Author(s):  
Muniyandi
Keyword(s):  
Systems Biology ◽  
Membrane Computing ◽  
Modeling Systems

scholarly journals Modeling Biological Systems Using Crowdsourcing

2018 ◽  
Vol 43 (3) ◽  
pp. 219-243 ◽  
Author(s):  
Szymon Wasik
Keyword(s):  
Systems Biology ◽  
Serious Games ◽  
Domain Knowledge ◽  
Biological Systems ◽  
Effective Technique ◽  
Design Models ◽  
Modeling Systems ◽  
Vast Network

Abstract Crowdsourcing is a very effective technique for outsourcing work to a vast network usually comprising anonymous people. In this study, we review the application of crowdsourcing to modeling systems originating from systems biology. We consider a variety of verified approaches, including well-known projects such as EyeWire, FoldIt, and DREAM Challenges, as well as novel projects conducted at the European Center for Bioinformatics and Genomics. The latter projects utilized crowdsourced serious games to design models of dynamic biological systems, and it was demonstrated that these models could be used successfully to involve players without domain knowledge. We conclude the review of these systems by providing 10 guidelines to facilitate the efficient use of crowdsourcing.

Systems Approach to Understanding Oral Diseases

2010 ◽  
pp. 29-45
Author(s):  
Amit Chattopadhyay
Keyword(s):  
Systems Biology ◽  
Molecular Modeling ◽  
Molecular Biology ◽  
Structure Prediction ◽  
Systems Approach ◽  
Human Microbiome ◽  
Oral Diseases ◽  
Computational Biophysics ◽  
Prognostic Information ◽  
Modeling Systems

This chapter reviews the principles of systems biology and their application through computational methods (bioinformatics, computational biomodeling, genomics, proteomics, oral human microbiome, molecular modeling, systems biology, protein structure prediction, structural genomics, computational biochemistry and computational biophysics methods and projects) that have been applied to oral diseases research. The emphasis of the chapter is on concepts from molecular biology, genetics, and traditional pathology to provide new insights into oral diseases, and the associated technologies to provide new diagnostic, therapeutic and prognostic information. Another goal of the manuscript will be to serve as a central reference to access of information about systems biology resources for research into oral diseases.

scholarly journals Toward a Logic of the Organism: A Process Philosophical Consideration

Entropy ◽  
2021 ◽  
Vol 24 (1) ◽  
pp. 66
Author(s):  
Spyridon A. Koutroufinis
Keyword(s):  
Systems Biology ◽  
Statistical Mechanics ◽  
Kinetic Parameters ◽  
State Dependence ◽  
Control Parameters ◽  
Systems Of Equations ◽  
Biological Modeling ◽  
Modeling Systems ◽  
Philosophical Consideration ◽  
Static Systems

Mathematical models applied in contemporary theoretical and systems biology are based on some implicit ontological assumptions about the nature of organisms. This article aims to show that real organisms reveal a logic of internal causality transcending the tacit logic of biological modeling. Systems biology has focused on models consisting of static systems of differential equations operating with fixed control parameters that are measured or fitted to experimental data. However, the structure of real organisms is a highly dynamic process, the internal causality of which can only be captured by continuously changing systems of equations. In addition, in real physiological settings kinetic parameters can vary by orders of magnitude, i.e., organisms vary the value of internal quantities that in models are represented by fixed control parameters. Both the plasticity of organisms and the state dependence of kinetic parameters adds indeterminacy to the picture and asks for a new statistical perspective. This requirement could be met by the arising Biological Statistical Mechanics project, which promises to do more justice to the nature of real organisms than contemporary modeling. This article concludes that Biological Statistical Mechanics allows for a wider range of organismic ontologies than does the tacitly followed ontology of contemporary theoretical and systems biology, which are implicitly and explicitly based on systems theory.

Combining integrated systems-biology approaches with intervention-based experimental design provides a higher-resolution path forward for microbiome research

2019 ◽  
Vol 42 ◽  
Author(s):  
J. Alfredo Blakeley-Ruiz ◽  
Carlee S. McClintock ◽  
Ralph Lydic ◽  
Helen A. Baghdoyan ◽  
James J. Choo ◽  
...  
Keyword(s):  
Systems Biology ◽  
High Resolution ◽  
Experimental Design ◽  
Integrated Systems ◽  
Microbiome Research ◽  
Constructive Criticism

Abstract The Hooks et al. review of microbiota-gut-brain (MGB) literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: (a) highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and (b) recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.

Systems Biology

2009 ◽  
Author(s):  
Bernhard O. Palsson ◽  
Marc Abrams
Keyword(s):  
Systems Biology
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