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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

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
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...
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

Updated: Jun 8, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Finding knowledge translation articles in CINAHL.

Cynthia Lokker1, K Ann McKibbon, Nancy L Wilczynski

  • 1Department of Clinical Epidemiology & Biostatistics, McMaster University, Hamilton, ON, Canada. lokkerc@mcmaster.ca

Studies in Health Technology and Informatics
|September 16, 2010
PubMed
Summary
This summary is machine-generated.

Developing search filters for knowledge translation (KT) literature in CINAHL proved challenging. The study found suboptimal performance, highlighting difficulties in retrieving diverse KT research due to varied terminology.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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Related Experiment Videos

Last Updated: Jun 8, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Published on: June 13, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

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Published on: September 20, 2018

Area of Science:

  • Health Sciences
  • Information Science

Background:

  • Knowledge translation (KT) facilitates moving research into practice.
  • Accessible KT literature is crucial for research growth and evidence evaluation.
  • Researchers and decision-makers require efficient access to KT studies.

Purpose of the Study:

  • To develop and validate search filters for identifying KT articles in the CINAHL database.
  • To assess the effectiveness of these filters in retrieving KT Content, KT Applications, and KT Theory.

Main Methods:

  • A gold standard database was created by manually reviewing articles from 12 journals.
  • Articles were classified into KT Content, KT Applications, and KT Theory categories.
  • Sensitivity, specificity, precision, and accuracy were calculated for the developed search filters.

Main Results:

  • Optimized search filters demonstrated low sensitivity and specificity for KT Content (58.4% and 64.9%).
  • Performance improved for KT Applications (67.5% sensitivity, 70.2% specificity) and KT Theory (70.4% sensitivity, 77.8% specificity).

Conclusions:

  • Search filter performance for KT literature in CINAHL was suboptimal.
  • The broad range of disciplines and vocabularies used in KT research complicates literature retrieval.
  • Diversity in KT research terminology presents a significant challenge for database searching.