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Related Concept Videos

Translation01:31

Translation

Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Translation01:31

Translation

Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Proteins are called the...
Translation01:31

Translation

Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Translation01:31

Translation

Lesson: Translation
Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
Translation Produces the Building Blocks of Life
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Video

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A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
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A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

Editing, validating and translating of SBGN maps.

Tobias Czauderna1, Christian Klukas, Falk Schreiber

  • 1Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben, Martin Luther University of Halle-Wittenberg, Halle, Germany.

Bioinformatics (Oxford, England)
|July 15, 2010
PubMed
Summary
This summary is machine-generated.

SBGN-ED is a new tool for creating, validating, and translating Systems Biology Graphical Notation (SBGN) maps. This software enhances communication of biological knowledge by supporting SBGN map development and data integration.

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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

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Last Updated: Jun 11, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
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A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

Area of Science:

  • Systems biology
  • Biochemistry
  • Computational biology

Background:

  • The Systems Biology Graphical Notation (SBGN) standard facilitates visual representation of cellular processes.
  • Standardization aims to improve communication of biological knowledge across life science research communities.
  • Development of tools for editing, validating, and translating SBGN maps is crucial for wider adoption.

Purpose of the Study:

  • To introduce SBGN-ED, a software tool designed to support the SBGN standard.
  • To provide functionalities for creating, editing, validating, and translating SBGN maps.

Main Methods:

  • SBGN-ED enables the creation and modification of all three SBGN map types.
  • The tool validates SBGN maps for syntactical and semantical accuracy.
  • SBGN-ED facilitates translation of biological networks from KEGG and MetaCrop databases into SBGN format.
  • Export options include various file and image formats.

Main Results:

  • SBGN-ED offers comprehensive functionalities for SBGN map management.
  • The tool ensures the correctness and consistency of SBGN maps.
  • Integration with KEGG and MetaCrop databases streamlines data conversion into SBGN.

Conclusions:

  • SBGN-ED is a valuable resource for researchers working with SBGN.
  • The tool promotes efficient and accurate representation and communication of biological systems.
  • Availability of SBGN-ED with tutorials and examples encourages its adoption in the life sciences.