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Protein Networks02:26

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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.
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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
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The physiological function of a cell and cellular communication are outcomes of a range of extrinsic signals, intracellular signaling pathways, and cellular responses. No two cell types express the same repertoire of signaling components. Receptors are highly selective for their cognate ligands, but once activated, they can alter multiple cellular processes such as DNA transcription, protein synthesis, and metabolic activity. 
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BioMEMS: Forging New Collaborations Between Biologists and Engineers
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GraphSpace: stimulating interdisciplinary collaborations in network biology.

Aditya Bharadwaj1, Divit P Singh1, Anna Ritz2

  • 1Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.

Bioinformatics (Oxford, England)
|September 29, 2017
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Summary
This summary is machine-generated.

GraphSpace is a new web-based platform designed to improve collaboration in network biology. It allows research teams to easily store, visualize, and share biological networks, overcoming limitations of existing software.

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Area of Science:

  • Systems Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Networks are fundamental in systems biology, with visualization being key for analysis.
  • Current software limitations hinder collaborative network biology research, lacking biological relevance or sharing capabilities.

Purpose of the Study:

  • To introduce GraphSpace, a web-based platform enhancing team science in network biology.
  • To provide a solution for storing, interacting with, laying out, and sharing biological networks.

Main Methods:

  • Development of a web-based platform accessible at http://graphspace.org.
  • Making the GraphSpace code open-source and available at http://github.com/Murali-group/graphspace for custom server deployment.

Main Results:

  • GraphSpace facilitates seamless storage, interaction, layout, and sharing of biological networks.
  • The platform supports collaborative research by overcoming software limitations.

Conclusions:

  • GraphSpace fosters team science by enabling easy collaboration on network biology projects.
  • The platform addresses the need for a user-friendly, feature-rich solution for network visualization and sharing in biological research.