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Related Concept Videos

Protein Networks02:26

Protein Networks

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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.
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,...
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Protein-protein Interfaces02:04

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Related Experiment Video

Updated: Jan 19, 2026

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

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DASMI: exchanging, annotating and assessing molecular interaction data.

Hagen Blankenburg1, Robert D Finn, Andreas Prlić

  • 1Max Planck Institute for Informatics, Campus E 1.4, 66123 Saarbrücken, Germany.

Bioinformatics (Oxford, England)
|May 8, 2009
PubMed
Summary
This summary is machine-generated.

Biological interaction data is now more accessible through the new DASMI system. This dynamic platform facilitates data exchange, annotation, and assessment for researchers worldwide.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Growing volumes of biological interaction data are difficult to access globally.
  • Current methods for data retrieval, sharing, and presentation are insufficient.
  • Novel techniques are needed to manage distributed biological data.

Purpose of the Study:

  • To introduce the DASMI system for managing molecular interaction data.
  • To enable dynamic exchange, annotation, and assessment of biological interaction data.
  • To improve accessibility and integration of distributed biological data.

Main Methods:

  • Developed the DASMI system, based on the Distributed Annotation System (DAS).
  • Implemented a data exchange specification, web servers, and client applications.
  • Utilized a decentralized architecture for data integration and visualization.

Main Results:

  • DASMI enables dynamic exchange, annotation, and assessment of molecular interaction data.
  • The system allows online retrieval of up-to-date data from distributed sources.
  • Demonstrated DASMI's utility for protein and domain interaction data.
  • The system architecture supports easy extension with new data sources and clients.

Conclusions:

  • DASMI provides a flexible and extensible solution for accessing and managing biological interaction data.
  • The system enhances data accessibility for biologists by integrating distributed information.
  • DASMI represents a significant advancement in handling large-scale biological interaction datasets.