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Related Concept Videos

Structural Classification of Joints01:20

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Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
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When designing or analyzing a structural member, it is important to consider the internal loadings developed within the member. These internal loadings include normal force, shear force, and bending moment. Engineers can ensure that the structural member can support the applied external forces by calculating these internal loadings.
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Fibrous joints are a type of joint where the bones are connected by fibrous connective tissue. These joints provide stability and minimal to no movement between the articulating bones. There are three types of fibrous joints.
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Structural Design and Manufacturing of a Cruiser Class Solar Vehicle
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Automated and optimally FRET-assisted structural modeling.

Mykola Dimura1,2, Thomas-Otavio Peulen1, Hugo Sanabria1,3

  • 1Chair for Molecular Physical Chemistry, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.

Nature Communications
|October 27, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a computational tool suite to enhance structural biology. It optimizes Förster Resonance Energy Transfer (FRET) experiments and integrates them with simulations for accurate biomolecular structure determination.

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Area of Science:

  • Structural Biology
  • Computational Biophysics
  • Biomolecular Modeling

Background:

  • Förster Resonance Energy Transfer (FRET) experiments offer insights into dynamic biomolecular structures.
  • Integrating FRET data with computational simulations is crucial to overcome experimental limitations.

Purpose of the Study:

  • To develop a comprehensive software suite for FRET-assisted structural determination of biomolecular assemblies.
  • To improve the accuracy and reduce uncertainty in integrative structural models.

Main Methods:

  • Automated design of optimal FRET pair selection for experiments.
  • FRET-guided coarse-grained modeling and all-atom molecular dynamics refinement.
  • Quantitative quality assessment of FRET-derived structures.

Main Results:

  • Demonstrated accuracy of approximately 3 Å RMSDCα compared to X-ray structures.
  • Successful benchmarking against simulated and experimental data for proteins with multiple conformational states.
  • Validation using 15 to 23 FRET pairs.

Conclusions:

  • The developed software suite significantly enhances the accuracy of biomolecular structure determination using FRET data.
  • Provides a robust workflow for integrative structural modeling and refinement.
  • Open-source software and a web server are available for broader scientific use.