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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.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
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.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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 polypeptide...
Molecular Geometry and Dipole Moments02:36

Molecular Geometry and Dipole Moments

The VSEPR theory can be used to determine the electron pair geometries and molecular structures as follows:

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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NCIPLOT: a program for plotting non-covalent interaction regions.

Julia Contreras-García1, Erin R Johnson, Shahar Keinan

  • 1Department of Chemistry, Duke University, Durham, North Carolina, 27708.

Journal of Chemical Theory and Computation
|April 26, 2011
PubMed
Summary
This summary is machine-generated.

We developed a new Non-Covalent Interactions (NCI) index to accurately map weak interactions in molecules. This fast, transferable method visualizes interactions in large systems like proteins and DNA.

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Area of Science:

  • Chemistry
  • Biochemistry
  • Materials Science

Background:

  • Non-covalent interactions are crucial for chemical, biological, and technological processes.
  • Traditional methods for analyzing these interactions, like van der Waals (vdW) radii, struggle with large molecules.
  • Accurate identification and localization of non-covalent interactions are essential for understanding molecular behavior.

Purpose of the Study:

  • To introduce and describe the Non-Covalent Interactions (NCI) index as an alternative method for analyzing weak interactions.
  • To present the computational algorithms and implementation of the NCI index.
  • To demonstrate the applicability and insights gained from NCI analysis across various chemical disciplines.

Main Methods:

  • Developed the Non-Covalent Interactions (NCI) index based on electron density.
  • Implemented NCI computational algorithms for analysis and visualization.
  • Utilized both quantum-mechanical and promolecular densities for NCI calculations.
  • Included options for tuning the range of interactions for plotting.

Main Results:

  • The NCI index provides an accurate and efficient way to characterize non-covalent interactions.
  • NCI analysis is transferable across diverse chemical applications, including organic, inorganic, solid-state, and macromolecular chemistry.
  • The method is computationally fast, enabling analysis of large systems like proteins and DNA.
  • NCI analysis revealed insights into unconventional chemical bonding.

Conclusions:

  • The NCI index offers a powerful and versatile tool for the study of non-covalent interactions.
  • Its computational efficiency and applicability to large systems make it valuable for complex molecular systems.
  • NCI analysis enhances understanding of chemical bonding and molecular interactions in various fields.