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Related Concept Videos

Translation01:31

Translation

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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.
Translation Produces the Building Blocks of...
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Translation01:31

Translation

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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...
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Cattell's 16 Personality Factors01:24

Cattell's 16 Personality Factors

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Raymond Cattell's trait theory offers a structured framework for understanding personality by distinguishing between two critical traits: surface and source traits. Surface traits are observable patterns of behavior, such as indecisiveness, anxiety, and irrational fears. These traits are less stable, varying across situations and over time. This means that they are less helpful in understanding the deeper aspects of an individual's personality.
In contrast, source traits are the...
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Initiation of Translation02:33

Initiation of Translation

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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.
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...
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Termination of Translation01:44

Termination of Translation

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The large ribosomal subunit has several important structures essential to translation. These include the peptidyl transferase center (PTC) - which is the site where the peptide bond is formed - and a large, internal, water-filled tube through which the nascent polypeptide moves. This latter structure is called the Peptide Exit Tunnel, and it begins at the PTC and spans the body of the large ribosomal subunit. During translation, as the nascent polypeptide chain is synthesized, it passes through...
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Termination of Translation01:44

Termination of Translation

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Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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Chapter 16: text mining for translational bioinformatics.

K Bretonnel Cohen1, Lawrence E Hunter

  • 1Computational Bioscience Program, University of Colorado School of Medicine, Aurora, Colorado, USA. kevin.cohen@gmail.com

Plos Computational Biology
|May 2, 2013
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Summary
This summary is machine-generated.

Text mining in translational bioinformatics bridges basic research and clinical practice. This field uses biomedical natural language processing for applications in T1 and T2 research, enhancing subject phenotyping and pharmacogenomics.

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Area of Science:

  • Translational Bioinformatics
  • Biomedical Natural Language Processing

Background:

  • Text mining is crucial for connecting basic science discoveries with clinical applications.
  • It supports both T1 (basic science to interventions) and T2 (public health) translational research.

Purpose of the Study:

  • To explore the potential and applications of text mining in translational bioinformatics.
  • To discuss methods for evaluating text mining tools and fundamental linguistic principles.

Main Methods:

  • Utilizes biomedical natural language processing techniques.
  • Considers rule-based (knowledge-based) and machine-learning-based (statistical) approaches, often in hybrid systems.
  • Employs evaluation methods like corpora, test suites, and expert judging.

Main Results:

  • Identifies key use cases such as improved subject phenotyping and pharmacogenomic research.
  • Highlights the importance of linguistic structure, including multiple levels and ambiguity.
  • Notes the impact of shared tasks on field development.

Conclusions:

  • Text mining software in translational bioinformatics is health-critical.
  • Rigorous quality assurance and software testing are essential for these applications.