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Related Concept Videos

Protein Folding01:25

Protein Folding

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Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
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Protein Folding Quality Check in the RER01:29

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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
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Conservation of Protein Domains Over Different Proteins02:26

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Export of Misfolded Proteins out of the ER01:32

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After folding, the ER assesses the quality of secretory and membrane proteins. The correctly folded proteins are cleared by the calnexin cycle for transport to their final destination, while misfolded proteins are held back in the ER lumen. The ER chaperones attempt to unfold and refold the misfolded proteins but sometimes fail to achieve the correct native conformation. Such terminally misfolded proteins are then exported to the cytosol by ER-associated degradation or ERAD pathway for...
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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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Related Experiment Videos

GDFold2: A fast and parallelizable protein folding environment with freely defined objective functions.

Tianyu Mi1,2, Nan Xiao1,2, Haipeng Gong1,2

  • 1MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.

Protein Science : a Publication of the Protein Society
|January 28, 2025
PubMed
Summary

GDFold2 is a novel, efficient protein folding environment that enables parallel processing and flexible optimization. It includes a quality assessment model to aid in selecting accurate protein structures, aiding conformational state investigations.

Keywords:
parallelized foldingprotein structure predictionstructural modelingstructure quality assessment

Related Experiment Videos

Area of Science:

  • Computational Biology
  • Structural Biology
  • Biophysics

Background:

  • Protein structure prediction is crucial for understanding biological function.
  • Current methods like AlphaFold2 integrate folding into neural networks, while others like trRosetta use separate environments (e.g., Rosetta).
  • Traditional methods offer conformational sampling but often lack prediction accuracy and efficiency.

Purpose of the Study:

  • To introduce GDFold2, a novel protein folding environment designed to overcome Rosetta's limitations.
  • To develop a computationally efficient and flexible platform for protein structure modeling.
  • To provide a reliable quality assessment (QA) model for evaluating predicted protein structures.

Main Methods:

  • GDFold2 was developed as a new protein folding environment.
  • The environment supports parallel processing for rapid folding simulations.
  • Freely definable objective functions allow for diversified optimization requirements.
  • A complementary QA model was created to predict the quality of folded structures.

Main Results:

  • GDFold2 demonstrates high computational efficiency, completing multiple folding processes in minutes.
  • The environment supports flexible, user-defined optimization objectives.
  • The QA model provides reliable predictions for selecting high-quality structural models.
  • GDFold2 facilitates the investigation of transitions between protein conformational states.

Conclusions:

  • GDFold2 offers a significant advancement in protein folding environments, balancing efficiency and flexibility.
  • The integrated QA model simplifies the selection of accurate protein structural models.
  • The platform holds potential for studying protein dynamics and conformational changes.
  • An online server is available for accessing GDFold2 and its QA capabilities.