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Related Concept Videos

Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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A peptide bond covalently attaches amino acids through a dehydration reaction. One amino acid's carboxyl group and another amino acid's amino group combine, releasing a water molecule. The resulting bond is the peptide bond. The products that such linkages form are peptides. As more amino acids join this growing chain, the resulting chain is a polypeptide. Each polypeptide has a free amino group at one end. This end has the N-terminal, or the amino-terminal, and the other end has a free...
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Structure prediction of linear and cyclic peptides using CABS-flex.

Aleksandra Badaczewska-Dawid1, Karol Wróblewski2, Mateusz Kurcinski2

  • 1Genome Informatics Facility, Office of Biotechnology, Iowa State University, Ames, 50011 IA, USA.

Briefings in Bioinformatics
|February 2, 2024
PubMed
Summary

We developed a new multiscale protocol for peptide structure prediction, combining coarse-grained simulations and all-atom optimization. This method is competitive, especially for short linear peptides, aiding drug discovery and molecular understanding.

Keywords:
cyclic peptidesdrug designmultiscale modelingpeptidestructural modeling

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Area of Science:

  • Computational biology
  • Structural biology
  • Biophysics

Background:

  • Peptide structural modeling is crucial for drug discovery and understanding molecular mechanisms.
  • Accurate prediction of peptide structures, including linear and cyclic forms, remains a challenge.

Purpose of the Study:

  • To present a novel multiscale protocol for predicting the structure of linear and cyclic peptides.
  • To evaluate the protocol's performance against state-of-the-art tools.

Main Methods:

  • The protocol integrates coarse-grained simulations (CABS-flex) with all-atom reconstruction-optimization (Modeller).
  • Evaluation involved sets of linear peptides and cyclic peptides (backbone and disulfide bond cyclization).
  • Performance was benchmarked against APPTEST, PEP-FOLD, ESMFold, and AlphaFold (ColabFold).

Main Results:

  • AlphaFold generally provided the highest resolution structures.
  • The CABS-flex based protocol demonstrated competitive performance, particularly for short linear peptides.
  • Protocol efficacy can be enhanced by integrating residue-residue contact prediction or improved scoring.

Conclusions:

  • The novel multiscale protocol offers a valuable tool for peptide and mini-protein structure prediction.
  • The protocol is accessible via the CABS-flex package with online documentation.
  • This approach contributes to advancing structural biology and drug discovery efforts.