Network Biology
Network Biology - Related Videos
15:05
Functional Evaluation of Biological Neurotoxins in Networked Cultures of Stem Cell-derived Central Nervous System Neurons
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Cited by 9 •
2015
A custom protocol is described to differentiate mouse ES cells into defined populations of highly pure neurons exhibiting functioning synapses and emergent network behavior. Electrophysiological analysis demonstrates the loss of synaptic transmission following exposure to botulinum neurotoxin serotypes /A-/G and tetanus neurotoxin.
02:26
Protein Networks
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2020
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions. These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
07:28
Synthetic Biology
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2023
This video presents synthetic biology and its role in bioengineering. Synthetic biology refers to the methods used to genetically modify organisms in order to make them capable of producing large quantities of a product. This product could be a protein that the cell already makes or a new protein that has been encoded in a newly-inserted DNA sequence. Here, we discuss how an organism's genetic material is modified using transformation or transfection. Then, the process is shown in the...
01:57
What is Conservation Biology?
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2019
Conservation biology is a scientific field that focuses on the preservation of biodiversity in order to protect ecosystems while meeting the needs of the human population. Humans require properly functioning ecosystems to maintain our supply of natural resources, including food, medicines, and building materials. Ecosystems also perform critical services, such as purifying our air and water. A large body of evidence indicates that such ecosystem services depend on biodiversity. Furthermore,...
02:18
Network Covalent Solids
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2020
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds. To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
FAQs
Highly connected components can reveal parts of a biological system that may coordinate related functions or reflect concentrated interaction patterns. In a graph-based analysis, researchers examine which entities have many or meaningful connections rather than evaluating each node alone. This structural view helps identify network features associated with disease or treatment and can guide interpretation of system-level changes.
Network Biology places genes, proteins, metabolites, or other measured entities into a shared analytical framework, allowing relationships across data types to be examined together. This integration can connect molecular changes that appear separate in individual datasets. In medicine, the combined view supports investigation of disease mechanisms and helps relate molecular patterns to broader biological function.
Disease or treatment may alter the connections, organization, or activity represented in a biological network. Comparing network structures or interaction patterns can therefore reveal coordinated changes rather than isolated molecular differences. These comparisons help researchers investigate how disease disrupts biological systems and how therapies influence interconnected cellular pathways.
A typical workflow represents biological entities as nodes and their relationships as edges, then applies computational analysis to the resulting graph. Researchers examine network structure, identify highly connected components, and assess changes linked with disease or treatment. The findings can then be interpreted alongside molecular and clinical information to address a medical research question.
Network-based analysis can highlight entities or interaction patterns that are strongly connected to disease-related changes. These features may provide candidates for further evaluation as drug targets or biomarkers. The approach is useful because it considers how a candidate fits within coordinated biological pathways, rather than relying only on its individual measurement.
It can show how genes, proteins, metabolites, and other biological entities are related within disease-associated systems. By examining network organization and changes, researchers can identify connected processes that may contribute to disease outcomes. This perspective supports mechanistic research by linking molecular interactions with broader patterns of biological dysfunction.
Network Biology connects molecular interaction patterns with patient phenotypes, helping researchers interpret disease at multiple biological levels. These links can support biomarker identification, treatment analysis, and investigation of pathways affected by therapy. In systems medicine, the resulting context may contribute to more precise diagnosis and treatment strategies by considering coordinated system behavior.