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Related Concept Videos

Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
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Mitochondrial Protein Sorting

Mitochondria are double-membrane organelles of the eukaryotes involved in cellular metabolism, signaling, ATP synthesis, and programmed cell death.  Each of these processes requires specific proteins and enzymes that must be correctly sorted to the right mitochondrial subcompartment for the proper functioning of the organelle.
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Nuclear Protein Sorting01:34

Nuclear Protein Sorting

Nuclear protein sorting is the selective trafficking of histones, polymerases, gene regulatory proteins into the nucleus and exporting RNAs and ribosomes to the cytosol. It is a tightly controlled process that regulates gene expression within a cell.
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Molecular Chaperones and Protein Folding03:00

Molecular Chaperones and Protein Folding

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.
The...
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Protein Complexes with Interchangeable Parts

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Setting a Successful Sorting for Extracellular Vesicle Isolation
08:37

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Published on: October 11, 2024

Fullerene sorting proteins.

Matteo Calvaresi1, Francesco Zerbetto

  • 1Dipartimento di Chimica G Ciamician, Universita' di Bologna, VF Selmi 2, 40126 Bologna, Italy. matteo.calvaresi@studio.unibo.it

Nanoscale
|March 30, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a computational method to identify proteins that can distinguish between fullerene cages like C60 and C70. This inverse docking approach accurately models interactions, predicting protein candidates for selective fullerene separation.

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Area of Science:

  • Biochemistry
  • Computational Chemistry
  • Materials Science

Background:

  • Proteins can bind to fullerenes, with hydrophobic pockets accommodating these carbon cages.
  • Identifying proteins that selectively bind specific fullerene cages (e.g., C60 vs. C70) remains a challenge.

Purpose of the Study:

  • To develop a predictive computational method for identifying proteins capable of discriminating between different fullerene cages.
  • To categorize proteins based on their fullerene-binding preferences (C60 or C70) and pocket accommodation (homosaccic or heterosaccic).

Main Methods:

  • An inverse docking procedure was employed, considering van der Waals interactions, desolvation free energy, shape complementarity, and steric clash minimization.
  • Over 1000 protein structures were analyzed and categorized based on their predicted affinity for C60 or C70 fullerenes.

Main Results:

  • The computational method successfully predicted protein candidates for discriminating between C60 and C70 fullerenes.
  • The KcsA Potassium Channel was identified as a highly promising candidate for binding both types of fullerenes, aligning with experimental observations.

Conclusions:

  • The developed inverse docking approach provides a reliable strategy for predicting protein-fullerene interactions and identifying selective binders.
  • The findings offer potential applications in separating different fullerene cages using protein-based systems.