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Related Experiment Video

Updated: Jul 15, 2026

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
07:33

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

Published on: October 15, 2018

Simulation of conformational changes occurring when a protein interacts with its receptor.

S Costantini1, G Colonna, A M Facchiano

  • 1Laboratory of Bioinformatics and Computational Biology, Institute of Food Science, CNR, via Roma 52 A/C, 83100 Avellino, Italy.

Computational Biology and Chemistry
|May 15, 2007
PubMed
Summary

Simulating protein-receptor interactions requires accurate modeling of conformational changes. This study refines theoretical models, improving their similarity to experimental data and enhancing protein-ligand recognition.

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Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
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Visualizing the Conformational Dynamics of Membrane Receptors Using Single-Molecule FRET

Published on: August 17, 2022

Area of Science:

  • Computational Biology
  • Structural Biology
  • Biochemistry

Background:

  • Protein-receptor interactions are crucial for biological processes.
  • Understanding conformational changes upon binding is key to drug discovery.
  • Accurate modeling of these changes remains a challenge.

Purpose of the Study:

  • To develop and validate a computational method for simulating protein conformational changes during receptor binding.
  • To assess the impact of side-chain refinement on the accuracy of theoretical protein-receptor complexes.
  • To explore the application of this method in homology modeling for unbound and bound states.

Main Methods:

  • Evaluated structural differences between experimental unbound and bound protein conformations.
  • Created theoretical complexes by substituting protein chains.
  • Applied side-chain refinement to improve model geometry.
  • Utilized homology modeling with human interleukin-1beta as a template.

Main Results:

  • Refined theoretical complexes showed increased structural and energetic similarity to experimental ones.
  • Homology modeling accurately captured unbound and bound conformations for homologous proteins.
  • Accurate side-chain modeling significantly improved protein-ligand interaction and molecular recognition.

Conclusions:

  • Homology modeling is sensitive to conformational differences between unbound and bound states.
  • Refinement of side-chain geometry in protein complexes enhances interaction accuracy.
  • The proposed refinement procedure is valuable for protein-protein interaction studies and docking.