Literature DB >> 12086531

Structure/response correlations and similarity/diversity analysis by GETAWAY descriptors. 2. Application of the novel 3D molecular descriptors to QSAR/QSPR studies.

Viviana Consonni1, Roberto Todeschini, Manuela Pavan, Paola Gramatica.   

Abstract

In a previous paper the theory of the new molecular descriptors called GETAWAY (GEometry, Topology, and Atom-Weights AssemblY) was explained. These descriptors have been proposed with the aim of matching 3D-molecular geometry, atom relatedness, and chemical information. In this paper prediction ability in structure-property correlations of GETAWAY descriptors has been tested extensively by analyzing the regressions of these descriptors for selected properties of some reference compound classes. Moreover, the general performance of the new descriptors in QSAR/QSPR has been evaluated with respect to other well-known sets of molecular descriptors.

Year:  2002        PMID: 12086531     DOI: 10.1021/ci0155053

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


  23 in total

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Journal:  Mol Divers       Date:  2009-04-02       Impact factor: 2.943

2.  On the interpretation and interpretability of quantitative structure-activity relationship models.

Authors:  Rajarshi Guha
Journal:  J Comput Aided Mol Des       Date:  2008-09-11       Impact factor: 3.686

3.  How the energy evaluation method used in the geometry optimization step affect the quality of the subsequent QSAR/QSPR models.

Authors:  Asmund Rinnan; Niels Johan Christensen; Søren Balling Engelsen
Journal:  J Comput Aided Mol Des       Date:  2009-11-27       Impact factor: 3.686

4.  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

5.  IMMAN: free software for information theory-based chemometric analysis.

Authors:  Ricardo W Pino Urias; Stephen J Barigye; Yovani Marrero-Ponce; César R García-Jacas; José R Valdes-Martiní; Facundo Perez-Gimenez
Journal:  Mol Divers       Date:  2015-01-26       Impact factor: 2.943

6.  Identification of molecular features necessary for selective inhibition of B cell lymphoma proteins using machine learning techniques.

Authors:  Ahmad Mani-Varnosfaderani; Marzieh Sadat Neiband; Ali Benvidi
Journal:  Mol Divers       Date:  2018-07-12       Impact factor: 2.943

Review 7.  Trends in information theory-based chemical structure codification.

Authors:  Stephen J Barigye; Yovani Marrero-Ponce; Facundo Pérez-Giménez; Danail Bonchev
Journal:  Mol Divers       Date:  2014-04-05       Impact factor: 2.943

8.  QSAR analysis on tacrine-related acetylcholinesterase inhibitors.

Authors:  Kai Y Wong; Andrew G Mercader; Laura M Saavedra; Bahareh Honarparvar; Gustavo P Romanelli; Pablo R Duchowicz
Journal:  J Biomed Sci       Date:  2014-09-20       Impact factor: 8.410

9.  In silico design of anti-atherogenic biomaterials.

Authors:  Daniel R Lewis; Vladyslav Kholodovych; Michael D Tomasini; Dalia Abdelhamid; Latrisha K Petersen; William J Welsh; Kathryn E Uhrich; Prabhas V Moghe
Journal:  Biomaterials       Date:  2013-07-25       Impact factor: 12.479

Review 10.  QSPR studies on aqueous solubilities of drug-like compounds.

Authors:  Pablo R Duchowicz; Eduardo A Castro
Journal:  Int J Mol Sci       Date:  2009-06-03       Impact factor: 6.208

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