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IGMPlot: A program to identify, characterize, and quantify molecular interactions.
Lefebvre, C; Klein, J; Khartabil, H; Boisson, J-C; Hénon, E.
Afiliação
  • Lefebvre C; Laboratoire Lorrain de Chimie Moléculaire UMR CNRS 7053, Université de Lorraine, Vandoeuvre-lès-Nancy, France.
  • Klein J; Institut Charles Gerhardt Montpellier, UMR CNRS 5253, Université de Montpellier, Pôle Chimie Balard Recherche, Montpellier, France.
  • Khartabil H; Institut de Chimie Moléculaire de Reims UMR CNRS 7312, Université de Reims Champagne-Ardenne, Moulin de la Housse, Reims, France.
  • Boisson JC; Laboratoire d'Informatique en Calcul Intensif et Image pour la Simulation (LICIIS), Université de Reims Champagne-Ardenne, Moulin de la Housse, Reims, France.
  • Hénon E; Institut de Chimie Moléculaire de Reims UMR CNRS 7312, Université de Reims Champagne-Ardenne, Moulin de la Housse, Reims, France.
J Comput Chem ; 44(20): 1750-1766, 2023 Jul 30.
Article em En | MEDLINE | ID: mdl-37177853
ABSTRACT
We describe the development and features of a program called IGMPlot, which is based on the independent gradient model (IGM) and its local descriptor δ g . The IGM approach analyzes the gradient of the electron density (ED) in a molecular system to identify regions of space where chemical interactions take place. IGMPlot is intended for use by both experimental scientists and theoretical chemists. It is standalone software written in C++, with versions available for multiple platforms. Some key features are probing and quantifying interactions between two given molecular fragments, determining bond strength (IBSI), estimating the atomic contributions to an intermolecular interaction and preparing data to build 2D and 3D representations of interaction regions. The software has been updated to include new features critical point analysis of the ED, assessing ED asymmetry of a given bond (PDA) and a new descriptor called q g designed to enhance the IGM- δ g analysis. The program can be found at http//igmplot.univ-reims.fr.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article