Literature DB >> 11128097

Modeling diamagnetic and magnetooptic properties of organic compounds with the TOSS-MODE approach.

E Estrada1, Y Gutierrez, H González.   

Abstract

The topological substructural molecular design (TOSS-MODE) approach is used to describe the diamagnetic susceptibility of organic compounds. Two data sets composed of 233 aliphatic and 85 aromatic compounds were studied for which good linear correlations were found. The contributions of many different structural fragments and atomic groups were computed by the current approach. The predictive ability of the models developed was tested by using external prediction sets of compounds of different classes than those used in training. A quantitative model based on the current approach was developed to compute the diamagnetic susceptibility exaltation of aromatic compounds, which is exemplified by the study of polycyclic aromatic hydrocarbons. The rotatory power of organic compounds in a magnetic field was also described by the TOSS-MODE approach. Good linear correlations were obtained for this property in aliphatic and aromatic compounds. The predictive abilities of the models found were tested by external prediction sets for which good correlations between calculated and experimental values are found.

Entities:  

Year:  2000        PMID: 11128097     DOI: 10.1021/ci000041e

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  5 in total

1.  TOPS-MODE versus DRAGON descriptors to predict permeability coefficients through low-density polyethylene.

Authors:  Maykel Pérez González; Aliuska Morales Helguera
Journal:  J Comput Aided Mol Des       Date:  2003-10       Impact factor: 3.686

2.  Topological research on diamagnetic susceptibilities of organic compounds.

Authors:  Lailong Mu; Changjun Feng; Hongmei He
Journal:  J Mol Model       Date:  2008-01-03       Impact factor: 1.810

3.  Design of novel antituberculosis compounds using graph-theoretical and substructural approaches.

Authors:  Alejandro Speck Planche; Marcus Tulius Scotti; América García López; Vicente de Paulo Emerenciano; Enrique Molina Pérez; Eugenio Uriarte
Journal:  Mol Divers       Date:  2009-04-02       Impact factor: 2.943

4.  QSAR model toward the rational design of new agrochemical fungicides with a defined resistance risk using substructural descriptors.

Authors:  Alejandro Speck-Planche; Valeria V Kleandrova; Julio A Rojas-Vargas
Journal:  Mol Divers       Date:  2011-06-02       Impact factor: 2.943

5.  Markovian chemicals "in silico" design (MARCH-INSIDE), a promising approach for computer-aided molecular design I: discovery of anticancer compounds.

Authors:  Humberto Gonzáles-Díaz; Ornella Gia; Eugenio Uriarte; Ivan Hernádez; Ronal Ramos; Mayrelis Chaviano; Santiago Seijo; Juan A Castillo; Lázaro Morales; Lourdes Santana; Delali Akpaloo; Enrique Molina; Maikel Cruz; Luis A Torres; Miguel A Cabrera
Journal:  J Mol Model       Date:  2003-09-16       Impact factor: 1.810

  5 in total

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