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Related Concept Videos

Ribosomes01:27

Ribosomes

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Ribosomes translate genetic information encoded by messenger RNA (mRNA) into proteins. Both prokaryotic and eukaryotic cells have ribosomes. Cells that synthesize large quantities of protein—such as secretory cells in the human pancreas—can contain millions of ribosomes.
Ribosome Structure and Assembly
Ribosomes are composed of ribosomal RNA (rRNA) and proteins. In eukaryotes, rRNA is transcribed from genes in the nucleolus—a part of the nucleus that specializes in ribosome...
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Ribosomes01:27

Ribosomes

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Ribosomes translate genetic information encoded by messenger RNA (mRNA) into proteins. Both prokaryotic and eukaryotic cells have ribosomes. Cells that synthesize large quantities of protein—such as secretory cells in the human pancreas—can contain millions of ribosomes.
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Ribosomes are composed of ribosomal RNA (rRNA) and proteins. In eukaryotes, rRNA is transcribed from genes in the nucleolus—a part of the nucleus that specializes in ribosome...
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Ribosomal RNA Synthesis02:53

Ribosomal RNA Synthesis

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Ribosome synthesis is a highly complex and coordinated process involving more than 200 assembly factors. The synthesis and processing of ribosomal components occurs not only in the nucleolus but also in the nucleoplasm and the cytoplasm of eukaryotic cells.
Ribosome biogenesis begins with the synthesis of 5S and 45S pre-rRNAs by distinct RNA polymerases. The primary transcripts are extensively processed and modified before they are bound and folded by ribosomal proteins and assembly factors,...
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Ribosomal RNA Synthesis02:53

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Simplified Synchronous Machine Model01:30

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
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Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
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Updated: Jan 27, 2026

Setting Limits on Supersymmetry Using Simplified Models
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Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

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Studying ribosome dynamics with simplified models.

Mariana Levi1, Jeffrey K Noel1, Paul C Whitford1

  • 1Department of Physics, Northeastern University, Boston, MA, United States; Crystallography, Max Delbrueck Center, Berlin, Germany.

Methods (San Diego, Calif.)
|April 3, 2019
PubMed
Summary
This summary is machine-generated.

Simplified models like SMOG enable large-scale molecular dynamics simulations of ribosome dynamics. These structure-based models capture spontaneous conformational changes, bridging experimental and computational research.

Keywords:
Structure based modelstRNA

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Related Experiment Videos

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Dual DNA Rulers to Study the Mechanism of Ribosome Translocation with Single-Nucleotide Resolution
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Area of Science:

  • Computational Biology
  • Biophysics
  • Molecular Dynamics

Background:

  • High-performance computing resources are widely available, shifting the focus from hardware limitations to theoretical models in molecular dynamics simulations.
  • Simplified models are crucial for studying large-scale dynamics (20-100 Å) in complex systems like the ribosome.

Purpose of the Study:

  • To review the application of structure-based models (SMOG) for simulating large-scale dynamics in the ribosome.
  • To provide an accessible overview of these methods for experimental and computational researchers.
  • To offer guidelines for future studies on structure-energetics-dynamics relationships in molecular assemblies.

Main Methods:

  • Focus on structure-based models (SMOG) for simulating spontaneous conformational rearrangements.
  • Application to large-scale (∼20-100 Å) dynamics within the ribosome.
  • Review of previously deployed strategies for computational investigations.

Main Results:

  • SMOG models facilitate the simulation of non-targeted conformational changes in complex molecular assemblies.
  • The review provides an entry-level assessment of simplified models for ribosome dynamics.
  • Previous strategies offer insights for future computational studies.

Conclusions:

  • Simplified structure-based models are powerful tools for understanding large-scale dynamics in molecular assemblies.
  • These models can bridge communication gaps between experimental and computational biophysics.
  • Future research can leverage these methods to explore structure-energetics-dynamics relationships in various biological systems.