Literature DB >> 21999713

Construction of coherent nano quantitative structure-properties relationships (nano-QSPR) models and catastrophe theory.

R Carbó-Dorca1, E Besalú.   

Abstract

The structure one can associate to coherent nano-quantitative structure-properties relationship (nano-QSPR) models is briefly discussed. Such nano-QSPR model functions are described as possessing three parts: a particle size polynomial; a typical QSPR function; and a special effects function. The expected behaviour of the particle size part is discussed from the point of view of catastrophe theory, in this way providing a plausible general picture about the emergence of new properties of nanoparticles and holographic location of information content.

Mesh:

Year:  2011        PMID: 21999713     DOI: 10.1080/1062936X.2011.623319

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  4 in total

1.  Computer-aided design of carbon nanotubes with the desired bioactivity and safety profiles.

Authors:  Denis Fourches; Dongqiuye Pu; Liwen Li; Hongyu Zhou; Qingxin Mu; Gaoxing Su; Bing Yan; Alexander Tropsha
Journal:  Nanotoxicology       Date:  2015-11-02       Impact factor: 5.913

Review 2.  In silico models for predicting vector control chemicals targeting Aedes aegypti.

Authors:  J Devillers; C Lagneau; A Lattes; J C Garrigues; M M Clémenté; A Yébakima
Journal:  SAR QSAR Environ Res       Date:  2014-10-02       Impact factor: 3.000

3.  The sequence of amino acids as the basis for the model of biological activity of peptides.

Authors:  Alla P Toropova; Maria Raškova; Ivan Raška; Andrey A Toropov
Journal:  Theor Chem Acc       Date:  2021-01-22       Impact factor: 1.702

4.  An in-silico layer-by-layer adsorption study of the interaction between Rebaudioside A and the T1R2 human sweet taste receptor: modelling and biosensing perspectives.

Authors:  Olayide A Arodola; Suvardhan Kanchi; Phathisanani Hloma; Krishna Bisetty; Abdullah M Asiri
Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.379

  4 in total

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