Journal
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
Volume 7, Issue 3, Pages 625-632Publisher
AMER CHEMICAL SOC
DOI: 10.1021/ct100641a
Keywords
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Funding
- National Science Foundation [CHE-09-11119, CHE-1012357]
- National Institute of Health [P50GM067082, RO1-GM-061870]
- Spanish MALTA [CSD2007-00045]
- Natural Sciences and Engineering Research Council of Canada
- French National Research Agency (ANR) [ANR-08-BLAN-0158]
- Direct For Mathematical & Physical Scien
- Division Of Chemistry [0911119] Funding Source: National Science Foundation
- Division Of Chemistry
- Direct For Mathematical & Physical Scien [1012357] Funding Source: National Science Foundation
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Noncovalent interactions hold the key to understanding many chemical, biological, and technological problems. Describing these noncovalent interactions accurately, including their positions in real space, constitutes a first step in the process of decoupling the complex balance of forces that define noncovalent interactions. Because of the size of macromolecules, the most common approach has been to assign van der Waals interactions (vdW), steric dashes (SC), and hydrogen bonds (HBs) based on pairwise distances between atoms according to their vdW radii. We recently developed an alternative perspective, derived from the electronic density: the non-covalent interactions (NCI) index [J. Am. Chem. Soc. 2010, 132, 6498]. This index has the dual advantages of being generally transferable to diverse chemical applications and being very fast to compute, since it can be calculated from promolecular densities. Thus, NCI analysis is applicable to large systems, including proteins and DNA, where analysis of noncovalent interactions is of great potential value. Here, we describe the NCI computational algorithms and their implementation for the analysis and visualization of weak interactions, using both self-consistent fully quantum-mechanical as well as promolecular densities. A wide range of options for tuning the range of interactions to be plotted is also presented. To demonstrate the capabilities of our approach, several examples are given from organic, inorganic, solid state, and macromolecular chemistry, including cases where NCI analysis gives insight into unconventional chemical bonding. The NCI code and its manual are available for download at http://www.chem.duke.edu/similar to yang/software.htm.
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