Literature DB >> 11206367

Novel chirality descriptors derived from molecular topology.

A Golbraikh1, D Bonchev, A Tropsha.   

Abstract

Several series of novel chirality descriptors of chemical organic molecules have been introduced. The descriptors have been developed on the basis of conventional topological descriptors of molecular graphs. They include modified molecular connectivity indices, Zagreb group indices, extended connectivity, overall connectivity, and topological charge indices. These modified descriptors make use of an additional term called chirality correction, which is added to the vertex degrees of asymmetric atoms in a molecular graph. Chirality descriptors can be real or complex numbers. Advantages and drawbacks of different series of chirality descriptors are discussed. These descriptors circumvent the inability of conventional topological indices to distinguish chiral or enantiomeric isomers, which so far has been the major drawback of 2D descriptors as compared to true 3D descriptors (e.g., shape, molecular fields) of molecular structure. These novel chirality descriptors have been implemented in a quantitative structure-activity releationship (QSAR) study of a set of ecdysteroids with a high content of chiral and enantiomeric compounds using the k nearest neighbor QSAR method (kNN) recently developed in this laboratory. We show that the results of this study compare favorably with those obtained with the comparative molecular field analysis (CoMFA) applied to the same dataset. The novel chirality descriptors of molecular structure should find their applications in QSAR studies and related investigations of molecular sdatasets.

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Year:  2001        PMID: 11206367     DOI: 10.1021/ci000082a

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


  8 in total

1.  Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection.

Authors:  Alexander Golbraikh; Alexander Tropsha
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

Review 2.  Global analysis of large-scale chemical and biological experiments.

Authors:  David E Root; Brian P Kelley; Brent R Stockwell
Journal:  Curr Opin Drug Discov Devel       Date:  2002-05

3.  Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection.

Authors:  Alexander Golbraikh; Alexander Tropsha
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

4.  3D-chiral atom, atom-type, and total non-stochastic and stochastic molecular linear indices and their applications to central chirality codification.

Authors:  Yovani Marrero-Ponce; Juan A Castillo-Garit
Journal:  J Comput Aided Mol Des       Date:  2005-06       Impact factor: 3.686

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

Authors:  Yovani Marrero-Ponce; Oscar Martínez Santiago; Yoan Martínez López; Stephen J Barigye; Francisco Torrens
Journal:  J Comput Aided Mol Des       Date:  2012-11-04       Impact factor: 3.686

6.  Markovian chemicals "in silico" design (MARCH-INSIDE), a promising approach for computer-aided molecular design III: 2.5D indices for the discovery of antibacterials.

Authors:  Humberto González-Díaz; Luis A Torres-Gómez; Yaima Guevara; Manuel S Almeida; Reinaldo Molina; Nilo Castañedo; Lourdes Santana; Eugenio Uriarte
Journal:  J Mol Model       Date:  2005-02-19       Impact factor: 1.810

Review 7.  Quantitative Structure-Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future.

Authors:  Andrew F Zahrt; Soumitra V Athavale; Scott E Denmark
Journal:  Chem Rev       Date:  2019-12-30       Impact factor: 60.622

8.  BCL::EMAS--enantioselective molecular asymmetry descriptor for 3D-QSAR.

Authors:  Gregory Sliwoski; Edward W Lowe; Mariusz Butkiewicz; Jens Meiler
Journal:  Molecules       Date:  2012-08-20       Impact factor: 4.411

  8 in total

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