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Related Experiment Video

Updated: Jul 5, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

AMMO-Prot: amine system project 3D-model finder.

Ismael Navas-Delgado1, Raúl Montañez, Almudena Pino-Angeles

  • 1Computer Languages and Computing Science Department, University of Málaga, Málaga, 29071, Spain. ismael@lcc.uma.es

BMC Bioinformatics
|May 9, 2008
PubMed
Summary
This summary is machine-generated.

The Amine System Project developed an ontology-based mediator to integrate complex amine-related biomolecular data. This system aids in understanding amine metabolism and protein structures, advancing biological knowledge.

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Expression and Purification of the Human Lipid-sensitive Cation Channel TRPC3 for Structural Determination by Single-particle Cryo-electron Microscopy
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Published on: January 7, 2019

Area of Science:

  • Biochemistry
  • Bioinformatics
  • Molecular Biology

Background:

  • Amines are vital biogenic amino acid derivatives with complex physiological roles.
  • Accumulating biomolecular data requires integration for advancing biological knowledge.
  • The Amine System Project (ASP) utilizes an ontology-based system for amine information validation.

Purpose of the Study:

  • To describe the Ontology-Based Mediator developed within the Amine System Project.
  • To demonstrate the system's application in solving a case related to amine metabolism-protein structures.
  • To provide a platform for managing ontologies, their relationships, and associated metadata.

Main Methods:

  • Development of an Ontology-Based Mediator using Semantic Directories infrastructure.
  • Application of the mediator to analyze amine metabolism-related protein structures.
  • Utilizing ontologies for data integration and knowledge discovery.

Main Results:

  • Successfully developed and deployed an Ontology-Based Mediator for amine-related data.
  • Demonstrated the system's capability to address complex biochemical queries.
  • Enabled the management and publication of ontologies and metadata.

Conclusions:

  • The developed infrastructure facilitates the management and publication of ontologies and metadata.
  • The Ontology-Based Mediator is a valuable tool for integrating and analyzing complex biomolecular data.
  • The system is accessible at http://asp.uma.es/WebMediator for further research.