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Related Concept Videos

Improving Translational Accuracy02:07

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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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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
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Translation01:31

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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.
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Translation in Prokaryotes01:29

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Prokaryote translation is a complex, highly coordinated process that converts genetic information from mRNA into functional proteins. It involves three stages: initiation, elongation, and termination, each facilitated by specific molecular components.Initiation of TranslationThe process begins with the assembly of the ribosomal subunits and initiation factors on the mRNA. In bacteria, the 30S ribosomal subunit recognizes the Shine-Dalgarno sequence in the mRNA, a conserved region upstream of...
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Initiation of Translation02:33

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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.
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Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
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Updated: Aug 11, 2025

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Multilingual translation for zero-shot biomedical classification using BioTranslator.

Hanwen Xu1, Addie Woicik1, Hoifung Poon2

  • 1School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.

Nature Communications
|February 9, 2023
PubMed
Summary
This summary is machine-generated.

BioTranslator translates free-text biological concepts into data instances, overcoming limitations of controlled vocabularies. This novel method aids in identifying new cell types and predicting protein functions.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Current biological data annotation relies on predefined controlled vocabularies, limiting the scope of analysis to known concepts.
  • This restricted approach hinders the exploration of novel biological insights and undiscovered biological entities.

Purpose of the Study:

  • To introduce BioTranslator, a novel multilingual translation method designed to overcome the limitations of controlled vocabularies in biological data analysis.
  • To enable the translation of user-written textual descriptions into non-text biological data instances.

Main Methods:

  • Developed a multilingual translation framework where diverse biological data modalities are translated into text.
  • Utilized BioTranslator to process textual descriptions of new biological concepts.

Main Results:

  • Demonstrated BioTranslator's capability in identifying novel cell types solely from textual descriptions.
  • Showcased the generalization of BioTranslator for protein function prediction and drug target identification.

Conclusions:

  • BioTranslator liberates scientific analysis from the constraints of predefined vocabularies.
  • Enables researchers to interact with and analyze biological data using flexible, free-text descriptions.