Literature DB >> 12546541

What are the limits of applicability for graph theoretic descriptors in QSPR/QSAR? Modeling dipole moments of aromatic compounds with TOPS-MODE descriptors.

Ernesto Estrada1, Humberto González.   

Abstract

The numerous possibilities of using graph theoretic descriptors in QSPR/QSAR are analyzed, and some misunderstandings on the role of this theoretical approach in chemistry are clarified. Principal component analysis is used to obtain a property space for several physicochemical properties of aromatic compounds. It is proved that most of the QSPR applications of the graph-theoretic structure descriptors are concentrated to the description of properties in a very limited region of this property space. Here, we show that graph-theoretic approaches are also applicable to the modeling of physicochemical properties that are far away from this region traditionally studied. The molecular dipole moments of benzene derivatives, mono-, ortho-, meta-, and para-susbtituted, are modeled by using the Topological Sub-Structural Molecular Design (TOPS-MODE) approach. The TOPS-MODE approach used permits to calculate group dipole moments that are given for several substituents. The differences between these group dipoles and those obtained by simple difference between experimental values are analyzed. Some difficulties arising from this traditional way of deriving substituent constants are identified and analyzed.

Entities:  

Year:  2003        PMID: 12546541     DOI: 10.1021/ci025604w

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


  4 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.  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

3.  Model for vaccine design by prediction of B-epitopes of IEDB given perturbations in peptide sequence, in vivo process, experimental techniques, and source or host organisms.

Authors:  Humberto González-Díaz; Lázaro G Pérez-Montoto; Florencio M Ubeira
Journal:  J Immunol Res       Date:  2014-01-12       Impact factor: 4.818

4.  Alignment-free prediction of mycobacterial DNA promoters based on pseudo-folding lattice network or star-graph topological indices.

Authors:  Alcides Perez-Bello; Cristian Robert Munteanu; Florencio M Ubeira; Alexandre Lopes De Magalhães; Eugenio Uriarte; Humberto González-Díaz
Journal:  J Theor Biol       Date:  2008-10-17       Impact factor: 2.691

  4 in total

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