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Related Concept Videos

Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
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Related Experiment Video

Updated: Jul 15, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Density-functional, density-functional tight-binding, and wave function calculations on biomolecular systems.

Tomas Kubar1, Petr Jurecka, Jirí Cerný

  • 1Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences and Center of Biomolecules and Complex Molecular Systems, Flemingovo nAm. 2, 166 10 Praha 6, Czech Republic.

The Journal of Physical Chemistry. A
|April 7, 2007
PubMed
Summary

Density-functional theory with dispersion correction (DFT-D) and self-consistent-charge density-functional tight-binding with dispersion correction (SCC-DFTB-D) accurately model biomolecular interactions and properties, offering efficient computational solutions.

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Area of Science:

  • Computational chemistry
  • Biomolecular modeling
  • Quantum chemistry

Background:

  • Density-functional theory (DFT) methods are widely used for biomolecular studies.
  • Incorporating empirical dispersion corrections is crucial for accurate modeling of non-covalent interactions.
  • DFT-D and SCC-DFTB-D are recent computational approaches combining DFT with dispersion corrections.

Purpose of the Study:

  • To evaluate the performance and usability of DFT-D and SCC-DFTB-D for biomolecular research tasks.
  • To compare these methods against high-level ab initio calculations and experimental data.
  • To determine suitable applications for each method based on their accuracy and computational cost.

Main Methods:

  • Application of DFT-D and SCC-DFTB-D methods to biomolecular systems.
  • Calculation of interaction energies for small biomolecular complexes.
  • Analysis of structures and infrared spectra.
  • Comparison with correlated ab initio methods and experimental results.

Main Results:

  • Excellent agreement between DFT-D/SCC-DFTB-D and reference ab initio data for interaction energies of small complexes.
  • Good concordance among DFT-D, SCC-DFTB-D, and experimental data for interaction energy, structure, and IR spectra in real-life studies.
  • Favorable computational time demands for both methods.

Conclusions:

  • DFT-D and SCC-DFTB-D are reliable and efficient computational tools for biomolecular research.
  • These methods provide accurate interaction energies, structures, and spectra.
  • Specific application areas are proposed for DFT-D and SCC-DFTB-D based on their performance and efficiency.