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Related Concept Videos

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...
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
Initiation of Translation02:33

Initiation of Translation

Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
Initiation of Translation02:33

Initiation of Translation

Initiating translation is complex because it involves multiple molecules. Initiator tRNA, ribosomal subunits, and eukaryotic initiation factors (eIFs) are all required to assemble on the initiation codon of mRNA. This process consists of several steps that are mediated by different eIFs.
First, the initiator tRNA must be selected from the pool of elongator tRNAs by eukaryotic initiation factor 2 (eIF2). The initiator tRNA (Met-tRNAi) has conserved sequence elements including modified bases at...
Purposive Learning01:22

Purposive Learning

E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a bonus...

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Creating a knowledge translation trainee collaborative: from conceptualization to lessons learned in the first year.

Evelyn Cornelissen1, Robin Urquhart, Vivian Wy Chan

  • 1University of British Columbia-Okanagan, Faculty of Health and Social Development, 3333 University Way, Kelowna, BC V1V1V7 Canada. ecorneli@interchange.ubc.ca

Implementation Science : IS
|August 27, 2011
PubMed
Summary

Trainees are forming national collaboratives for knowledge translation research. This paper shares experiences and lessons learned from establishing and running the first meeting of the Knowledge Translation Trainee Collaborative in Canada.

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

Area of Science:

  • Health Services Research
  • Implementation Science
  • Knowledge Translation

Background:

  • Knowledge translation is emerging as a distinct research discipline for trainees.
  • Trainees require platforms to explore diverse knowledge translation research and practice.
  • Geographical and disciplinary silos can limit trainee collaboration in knowledge translation.

Purpose of the Study:

  • To describe the process of establishing a national trainee-led collaborative for knowledge translation.
  • To share lessons learned from the planning and execution of the collaborative's inaugural meeting.
  • To present initial outcomes and learnings from the Knowledge Translation Trainee Collaborative.

Main Methods:

  • A trainee-initiated and trainee-led national collaborative was established in Canada.
  • The collaborative focused on examining the diversity of knowledge translation research and practice.
  • Participant organizers documented their experiences in planning and running the inaugural meeting.

Main Results:

  • The collaborative successfully convened its inaugural meeting, connecting trainees nationally.
  • Key challenges included logistical coordination and establishing a shared vision.
  • Opportunities identified involved fostering interdisciplinary learning and expanding research networks.

Conclusions:

  • Trainee-led collaboratives are feasible and valuable for advancing knowledge translation.
  • Effective planning and addressing challenges are crucial for collaborative success.
  • The Knowledge Translation Trainee Collaborative provides a model for future trainee-led initiatives in implementation science.