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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Integral membrane proteins are proteins adhered to the lipid bilayer of a cell organelle or membrane. They can be of two types: transmembrane integral proteins that span the lipid bilayer and monotopic proteins that are attached to either side of the membrane but do not pass through it.
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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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Tail-anchored, or TA, proteins are estimated to make up to 3-5% of membrane proteins found in the eukaryotic cell. Such proteins have a single transmembrane domain located approximately 30 amino acid residues upstream from the C-terminal end. As a result, the signal recognition particle (SRP) cannot guide a TA protein to the ER membrane for cotranslational insertion. Hence, they are integrated into the ER membrane post-translationally using their C-terminal end as the anchor. TA proteins...
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Streamlined Protein-Protein Interface Loop Mimicry.

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Cyclic organopeptides can target protein-protein interactions (PPIs). A new Backbone Matching method efficiently identifies potential loop mimics, reducing the number of compounds needed for drug discovery.

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Area of Science:

  • Medicinal Chemistry
  • Computational Chemistry
  • Biochemistry

Background:

  • Cyclic peptides with organic fragments (cyclo-organopeptides) are promising for modulating protein-protein interactions (PPIs).
  • Identifying effective loop mimics for PPI targets is challenging due to conformational flexibility.
  • Virtual screening of compound libraries is crucial for efficient drug discovery.

Purpose of the Study:

  • To introduce Backbone Matching (BM) for evaluating virtual cyclo-organopeptide libraries.
  • To demonstrate BM's utility in identifying potential loop mimics for PPIs.
  • To accelerate the discovery of lead compounds for specific PPI targets.

Main Methods:

  • Development and application of the Backbone Matching (BM) computational method.
  • Construction of a virtual library of 602 cyclo-organopeptides based on 86 organic fragments and alanine.
  • Evaluation of virtual cyclo-organopeptide conformers against target protein loop structures.

Main Results:

  • BM facilitates efficient evaluation of virtual cyclo-organopeptide libraries.
  • The method prioritizes candidate loop mimics by matching low-energy conformers to target protein loops.
  • Fewer than 10 cyclo-organopeptides required preparation to identify leads for iNOS·SPSB2 and uPA·uPAR PPIs.

Conclusions:

  • Backbone Matching (BM) is an effective strategy for prioritizing cyclo-organopeptide candidates as PPI modulators.
  • BM significantly reduces the experimental effort needed to discover lead compounds for challenging PPI targets.
  • This approach accelerates the development of novel therapeutics targeting protein-protein interactions.