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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
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Mitochondrial precursors are translocated to the internal subcompartments via independent mechanisms involving distinct protein machineries called translocases.
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Mitochondrial protein import is powered by two distinct energy sources: ATP hydrolysis and electrochemical potential across the inner membrane. Newly synthesized precursors are bound by cytosolic chaperones of the Hsp70 family, which guide them to the import receptors on the mitochondrial surface. Utilizing the energy of ATP hydrolysis, Hsp70 chaperones transfer these precursors to the TOM receptors on the mitochondrial outer membrane.
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A sizable fraction of proteins destined for ER are first synthesized in the cell cytosol and then transported across the ER membrane–a process called post-translational translocation. Similar to cotranslationally translocated proteins, these proteins also use the Sec translocon complex to enter the ER lumen.
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Related Experiment Video

Updated: Sep 25, 2025

Measuring Peptide Translocation into Large Unilamellar Vesicles
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Optimal transport technique to understand peptide conformations.

Vigneshwaran Kannan1, Ramesh Anishetty2, S R Hassan1

  • 1The Institute of Mathematical Sciences, CIT Campus, Tharamani, Chennai 600 113, India; Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India.

Computational Biology and Chemistry
|May 1, 2022
PubMed
Summary

Optimal Transport theory reveals peptide conformations. This computational method analyzes tetrapeptide distributions, showing specific sequences favor alpha-helix and beta-turn structures.

Keywords:
MinimizationOptimal transportPeptide conformationRamachandran angle distributionsTetrapeptideTripeptide

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Formation of Ordered Biomolecular Structures by the Self-assembly of Short Peptides
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Area of Science:

  • Computational biology
  • Biophysics
  • Structural bioinformatics

Background:

  • Previous studies analyzed dipeptide and tripeptide backbone torsional angles using Protein Data Bank (PDB) data.
  • Obtaining distributions for longer peptides is challenging due to data sparsity.

Purpose of the Study:

  • Introduce a novel technique based on Optimal Transport theory to analyze peptide conformations.
  • Develop a computational method for determining multi-point distributions of peptide backbone torsional angles.
  • Investigate tetrapeptide conformations, specifically those composed of Alanine (Ala) and Glycine (Gly) residues.

Main Methods:

  • Application of Optimal Transport theory for computational analysis of peptide structures.
  • Determination of multi-point distributions for backbone torsional angles in peptides.
  • Comparative analysis of computational predictions with existing Protein Data Bank (PDB) data for tetrapeptides.

Main Results:

  • The study successfully applied Optimal Transport theory to analyze tetrapeptide conformations.
  • Detailed distributions for tetrapeptides composed of Ala and Gly were analyzed.
  • Computational predictions were compared against PDB data, showing good agreement.

Conclusions:

  • Tetrapeptides like AAAA, AAAG, AGAA, and GAAA show a preference for right-handed alpha-helix secondary structures.
  • Tetrapeptides such as GGGG, GAGG, AAGG, and AAGA tend to form beta-turns.
  • The Optimal Transport approach provides a viable method for studying extended peptide conformations and their structural preferences.