Literature DB >> 31493097

A model of atomic compressibility and its application in QSAR domain for toxicological property prediction.

Hiteshi Tandon1, Tanmoy Chakraborty2, Vandana Suhag3.   

Abstract

A model for computing the atomic compressibility (β) based on two periodic descriptors, namely, absolute radius (r) and atomic electrophilicity index (ω), is proposed as[Formula: see text]The ansatz is invoked to compute compressibilities of atoms of 57 elements of the periodic table. The computed atomic data exhibits all sine qua non of periodic properties. Further, the concept group compressibility (Gβ) is also established invoking additivity property using some molecules with different functional groups and consequently utilized in correlating with molecular polarizability. Since toxicity prediction is an imperative need of the hour, chemical reactivity descriptors are of paramount importance in the study of toxicological behaviour along with a lot of other molecular reactivity studies within a Quantitative Structure-Activity Relationship (QSAR) context. Hence, this quantity is applied in the modelling of toxicological property through QSAR and a comprehensive study is performed in an effort to investigate and validate the application of compressibility in determining its toxicological power. Consequently, varied 209 organic molecules are selected for studying the toxic effect on Tetrahymena pyriformis. A QSAR model is constructed in terms of compressibility which offers a superior prediction of toxicity independently without adopting additional descriptors or properties as in some other QSAR studies. Graphical abstract.

Entities:  

Keywords:  Conceptual density functional theory (CDFT); Group compressibility; Periodicity; Polarizability; Quantitative structure–activity relationship (QSAR); Toxicity

Mesh:

Substances:

Year:  2019        PMID: 31493097     DOI: 10.1007/s00894-019-4199-9

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  17 in total

1.  Partial least squares modelling of the acute toxicity of aliphatic compounds to Tetrahymena pyriformis.

Authors:  T I Netzeva; T W Schultz; A O Aptula; M T D Cronin
Journal:  SAR QSAR Environ Res       Date:  2003-08       Impact factor: 3.000

2.  Electrophilicity index as a possible descriptor of biological activity.

Authors:  R Parthasarathi; V Subramanian; D R Roy; P K Chattaraj
Journal:  Bioorg Med Chem       Date:  2004-11-01       Impact factor: 3.641

3.  Comparative QSAR study of phenol derivatives with the help of density functional theory.

Authors:  F A Pasha; H K Srivastava; P P Singh
Journal:  Bioorg Med Chem       Date:  2005-09-19       Impact factor: 3.641

4.  What is an atom in a molecule?

Authors:  Robert G Parr; Paul W Ayers; Roman F Nalewajski
Journal:  J Phys Chem A       Date:  2005-05-05       Impact factor: 2.781

5.  Electrophilicity as a possible descriptor for toxicity prediction.

Authors:  D R Roy; R Parthasarathi; B Maiti; V Subramanian; P K Chattaraj
Journal:  Bioorg Med Chem       Date:  2005-05-16       Impact factor: 3.641

6.  Analyzing toxicity through electrophilicity.

Authors:  D R Roy; U Sarkar; P K Chattaraj; A Mitra; J Padmanabhan; R Parthasarathi; V Subramanian; S Van Damme; P Bultinck
Journal:  Mol Divers       Date:  2006-06-09       Impact factor: 2.943

7.  Structure-toxicity relationships for selected halogenated aliphatic chemicals.

Authors:  K S Akers; G D Sinks; T W Schultz
Journal:  Environ Toxicol Pharmacol       Date:  1999-03       Impact factor: 4.860

8.  Electronic compressibility and polarizability: origins of a correlation.

Authors:  Kelling J Donald
Journal:  J Phys Chem A       Date:  2006-02-16       Impact factor: 2.781

9.  DFT-based QSAR study of testosterone and its derivatives.

Authors:  P P Singh; H K Srivastava; F A Pasha
Journal:  Bioorg Med Chem       Date:  2004-01-02       Impact factor: 3.641

10.  Evaluating the toxicity of TiO2-based nanoparticles to Chinese hamster ovary cells and Escherichia coli: a complementary experimental and computational approach.

Authors:  Alicja Mikolajczyk; Natalia Sizochenko; Ewa Mulkiewicz; Anna Malankowska; Michal Nischk; Przemyslaw Jurczak; Seishiro Hirano; Grzegorz Nowaczyk; Adriana Zaleska-Medynska; Jerzy Leszczynski; Agnieszka Gajewicz; Tomasz Puzyn
Journal:  Beilstein J Nanotechnol       Date:  2017-10-17       Impact factor: 3.649

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  2 in total

1.  Polarizability: a promising descriptor to study chemical-biological interactions.

Authors:  Hiteshi Tandon; Prabhat Ranjan; Tanmoy Chakraborty; Vandana Suhag
Journal:  Mol Divers       Date:  2020-03-07       Impact factor: 2.943

2.  Breakdown of Universal Scaling for Nanometer-Sized Bubbles in Graphene.

Authors:  Renan Villarreal; Pin-Cheng Lin; Fahim Faraji; Nasim Hassani; Harsh Bana; Zviadi Zarkua; Maya N Nair; Hung-Chieh Tsai; Manuel Auge; Felix Junge; Hans C Hofsaess; Stefan De Gendt; Steven De Feyter; Steven Brems; E Harriet Åhlgren; Erik C Neyts; Lucian Covaci; François M Peeters; Mehdi Neek-Amal; Lino M C Pereira
Journal:  Nano Lett       Date:  2021-09-14       Impact factor: 12.262

  2 in total

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