Literature DB >> 12086530

Structure/response correlations and similarity/diversity analysis by GETAWAY descriptors. 1. Theory of the novel 3D molecular descriptors.

Viviana Consonni1, Roberto Todeschini, Manuela Pavan.   

Abstract

Novel molecular descriptors based on a leverage matrix similar to that defined in statistics and usually used for regression diagnostics are presented. This leverage matrix, called Molecular Influence Matrix (MIM), is here proposed as a new molecular representation easily calculated from the spatial coordinates of the molecule atoms in a chosen conformation. The proposed molecular descriptors are called GETAWAY (GEometry, Topology, and Atom-Weights AssemblY) as they try to match 3D-molecular geometry provided by the molecular influence matrix and atom relatedness by molecular topology, with chemical information by using different atomic weightings (atomic mass, polarizability, van der Waals volume, and electronegativity, together with unit weights). A first set of molecular descriptors, called H-GETAWAY, is derived by using only the information provided by the molecular influence matrix, while a second set, called R-GETAWAY, combines this information with geometric interatomic distances in the molecule. The prediction ability in structure-property correlations of the new descriptors was tested by analyzing regressions of these descriptors for selected properties of octanes.

Entities:  

Year:  2002        PMID: 12086530     DOI: 10.1021/ci015504a

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


  42 in total

1.  Use of alignment-free molecular descriptors in diversity analysis and optimal sampling of molecular libraries.

Authors:  Fabien Fontaine; Manuel Pastor; Hugo Gutiérrez-de-Terán; Juan J Lozano; Ferran Sanz
Journal:  Mol Divers       Date:  2003       Impact factor: 2.943

2.  Novel coumarin-based tyrosinase inhibitors discovered by OECD principles-validated QSAR approach from an enlarged, balanced database.

Authors:  Huong Le-Thi-Thu; Gerardo M Casañola-Martín; Yovani Marrero-Ponce; Antonio Rescigno; Luciano Saso; Virinder S Parmar; Francisco Torrens; Concepción Abad
Journal:  Mol Divers       Date:  2010-09-03       Impact factor: 2.943

3.  Bond-based global and local (bond, group and bond-type) quadratic indices and their applications to computer-aided molecular design. 1. QSPR studies of diverse sets of organic chemicals.

Authors:  Yovani Marrero-Ponce; Francisco Torrens; Ysaias J Alvarado; Richard Rotondo
Journal:  J Comput Aided Mol Des       Date:  2006-11-25       Impact factor: 3.686

4.  Bond-based 2D TOMOCOMD-CARDD approach for drug discovery: aiding decision-making in 'in silico' selection of new lead tyrosinase inhibitors.

Authors:  Yovani Marrero-Ponce; Mahmud Tareq Hassan Khan; Gerardo M Casañola-Martín; Arjumand Ather; Mukhlis N Sultankhodzhaev; Ramón García-Domenech; Francisco Torrens; Richard Rotondo
Journal:  J Comput Aided Mol Des       Date:  2007-02-28       Impact factor: 3.686

5.  Computational neural network analysis of the affinity of lobeline and tetrabenazine analogs for the vesicular monoamine transporter-2.

Authors:  Fang Zheng; Guangrong Zheng; A Gabriela Deaciuc; Chang-Guo Zhan; Linda P Dwoskin; Peter A Crooks
Journal:  Bioorg Med Chem       Date:  2007-02-11       Impact factor: 3.641

6.  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

7.  Docking and quantitative structure-activity relationship studies for sulfonyl hydrazides as inhibitors of cytosolic human branched-chain amino acid aminotransferase.

Authors:  Julio Caballero; Ariela Vergara-Jaque; Michael Fernández; Deysma Coll
Journal:  Mol Divers       Date:  2009-04-07       Impact factor: 2.943

8.  Prediction of Fibrinogen Adsorption for Biodegradable Polymers: Integration of Molecular Dynamics and Surrogate Modeling.

Authors:  Anna V Gubskaya; Vladyslav Kholodovych; Doyle Knight; Joachim Kohn; William J Welsh
Journal:  Polymer (Guildf)       Date:  2007-09-10       Impact factor: 4.430

9.  Linear and nonlinear modeling of antifungal activity of some heterocyclic ring derivatives using multiple linear regression and Bayesian-regularized neural networks.

Authors:  Julio Caballero; Michael Fernández
Journal:  J Mol Model       Date:  2005-10-21       Impact factor: 1.810

Review 10.  Computer tools in the discovery of HIV-1 integrase inhibitors.

Authors:  Chenzhong Liao; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2010-07       Impact factor: 3.808

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