Literature DB >> 23124489

Derivatives in discrete mathematics: a novel graph-theoretical invariant for generating new 2/3D molecular descriptors. I. Theory and QSPR application.

Yovani Marrero-Ponce1, Oscar Martínez Santiago, Yoan Martínez López, Stephen J Barigye, Francisco Torrens.   

Abstract

In this report, we present a new mathematical approach for describing chemical structures of organic molecules at atomic-molecular level, proposing for the first time the use of the concept of the derivative ([Formula: see text]) of a molecular graph (MG) with respect to a given event (E), to obtain a new family of molecular descriptors (MDs). With this purpose, a new matrix representation of the MG, which generalizes graph's theory's traditional incidence matrix, is introduced. This matrix, denominated the generalized incidence matrix, Q, arises from the Boolean representation of molecular sub-graphs that participate in the formation of the graph molecular skeleton MG and could be complete (representing all possible connected sub-graphs) or constitute sub-graphs of determined orders or types as well as a combination of these. The Q matrix is a non-quadratic and unsymmetrical in nature, its columns (n) and rows (m) are conditions (letters) and collection of conditions (words) with which the event occurs. This non-quadratic and unsymmetrical matrix is transformed, by algebraic manipulation, to a quadratic and symmetric matrix known as relations frequency matrix, F, which characterizes the participation intensity of the conditions (letters) in the events (words). With F, we calculate the derivative over a pair of atomic nuclei. The local index for the atomic nuclei i, Δ(i), can therefore be obtained as a linear combination of all the pair derivatives of the atomic nuclei i with all the rest of the j's atomic nuclei. Here, we also define new strategies that generalize the present form of obtaining global or local (group or atom-type) invariants from atomic contributions (local vertex invariants, LOVIs). In respect to this, metric (norms), means and statistical invariants are introduced. These invariants are applied to a vector whose components are the values Δ(i) for the atomic nuclei of the molecule or its fragments. Moreover, with the purpose of differentiating among different atoms, an atomic weighting scheme (atom-type labels) is used in the formation of the matrix Q or in LOVIs state. The obtained indices were utilized to describe the partition coefficient (Log P) and the reactivity index (Log K) of the 34 derivatives of 2-furylethylenes. In all the cases, our MDs showed better statistical results than those previously obtained using some of the most used families of MDs in chemometric practice. Therefore, it has been demonstrated to that the proposed MDs are useful in molecular design and permit obtaining easier and robust mathematical models than the majority of those reported in the literature. All this range of mentioned possibilities open "the doors" to the creation of a new family of MDs, using the graph derivative, and avail a new tool for QSAR/QSPR and molecular diversity/similarity studies.

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Year:  2012        PMID: 23124489     DOI: 10.1007/s10822-012-9591-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  10 in total

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Authors: 
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3.  3D connectivity indices in QSPR/QSAR studies.

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Journal:  J Chem Inf Comput Sci       Date:  2001 May-Jun

4.  Prediction of enantiomeric selectivity in chromatography. Application of conformation-dependent and conformation-independent descriptors of molecular chirality.

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Review 5.  Novel local (fragment-based) topological molecular descriptors for QSpr/QSAR and molecular design.

Authors:  E Estrada; E Molina
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

Review 6.  Molecular connectivity: intermolecular accessibility and encounter simulation.

Authors:  L B Kier; L H Hall
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

Review 7.  Recent advances on the role of topological indices in drug discovery research.

Authors:  E Estrada; E Uriarte
Journal:  Curr Med Chem       Date:  2001-11       Impact factor: 4.530

8.  Evolutionary optimization in quantitative structure-activity relationship: an application of genetic neural networks.

Authors:  S S So; M Karplus
Journal:  J Med Chem       Date:  1996-03-29       Impact factor: 7.446

9.  Codessa-based theoretical QSPR model for hydantoin HPLC-RT lipophilicities.

Authors:  A R Katritzky; S Perumal; R Petrukhin; E Kleinpeter
Journal:  J Chem Inf Comput Sci       Date:  2001 May-Jun

10.  [Research in antitumoral chemotherapy. X. Cytotoxic and antitumoral activity of beta-nitrostyrenes and of composed nitrovinyl derivatives].

Authors:  J C Doré; C Viel
Journal:  Farmaco Sci       Date:  1975-02
  10 in total
  6 in total

Review 1.  Computational methods in drug discovery.

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2.  Physico-Chemical and Structural Interpretation of Discrete Derivative Indices on N-Tuples Atoms.

Authors:  Oscar Martínez-Santiago; Yovani Marrero-Ponce; Stephen J Barigye; Huong Le Thi Thu; F Javier Torres; Cesar H Zambrano; Jorge L Muñiz Olite; Maykel Cruz-Monteagudo; Ricardo Vivas-Reyes; Liliana Vázquez Infante; Luis M Artiles Martínez
Journal:  Int J Mol Sci       Date:  2016-05-27       Impact factor: 5.923

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Authors:  Stephen J Barigye; José Manuel García de la Vega; Juan A Castillo-Garit
Journal:  J Comput Aided Mol Des       Date:  2019-11-26       Impact factor: 3.686

4.  Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets.

Authors:  César R García-Jacas; Ernesto Contreras-Torres; Yovani Marrero-Ponce; Mario Pupo-Meriño; Stephen J Barigye; Lisset Cabrera-Leyva
Journal:  J Cheminform       Date:  2016-02-25       Impact factor: 5.514

5.  QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations.

Authors:  José R Valdés-Martiní; Yovani Marrero-Ponce; César R García-Jacas; Karina Martinez-Mayorga; Stephen J Barigye; Yasser Silveira Vaz d'Almeida; Hai Pham-The; Facundo Pérez-Giménez; Carlos A Morell
Journal:  J Cheminform       Date:  2017-06-07       Impact factor: 5.514

6.  Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs).

Authors:  César R García-Jacas; Lisset Cabrera-Leyva; Yovani Marrero-Ponce; José Suárez-Lezcano; Fernando Cortés-Guzmán; Mario Pupo-Meriño; Ricardo Vivas-Reyes
Journal:  J Cheminform       Date:  2018-10-25       Impact factor: 5.514

  6 in total

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