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Related Concept Videos

Protein and Protein Structure02:15

Protein and Protein Structure

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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An acid can be deprotonated to form a conjugate base or an anion. If the produced anion is more stable, then the acid is stronger. On the contrary, if the anion is unstable, then the acid is weaker. Hence, to determine the acidity of the compound, the stability of its conjugate base is studied using various factors.
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Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
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The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein.
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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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Experimental accuracy in protein structure refinement via molecular dynamics simulations.

Lim Heo1, Michael Feig2

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Molecular dynamics (MD) simulations can refine protein structures but face challenges from rough energy landscapes. Overcoming kinetic barriers and off-pathway states is crucial for accurate protein structure refinement.

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Area of Science:

  • Computational Biology
  • Structural Biology
  • Biophysics

Background:

  • Protein structure refinement is critical for achieving experimental accuracy from homology models.
  • Molecular dynamics (MD) simulations offer a promising approach for refinement but face limitations in consistency and efficiency.
  • Understanding the energy landscape is key to overcoming challenges in MD-based protein structure refinement.

Purpose of the Study:

  • To explore the energy landscape between homology models and native protein structures.
  • To analyze the challenges hindering successful MD-based refinement.
  • To identify key transitions and kinetic barriers in the refinement process.

Main Methods:

  • Extensive molecular dynamics (MD) simulations were performed on eight test cases.
  • Markov state modeling was employed to analyze simulation data and explore the energy landscape.
  • Transition paths and kinetic barriers were analyzed in detail.

Main Results:

  • Native protein states were identified close to experimental structures and at low free energies.
  • Refinement was significantly hindered by a rough energy landscape with substantial kinetic barriers.
  • Significant sampling of off-pathway states competed with productive refinement pathways.
  • An energetic driving force towards the native state was generally absent until the immediate vicinity.

Conclusions:

  • MD-based protein structure refinement is challenged by complex energy landscapes and kinetic barriers.
  • Overcoming off-pathway states and understanding transition dynamics are essential for improving refinement protocols.
  • Further advancements in force fields and simulation methodologies are needed for efficient and accurate protein structure refinement.