Literature DB >> 15670927

QSTR with extended topochemical atom indices. Part 5: Modeling of the acute toxicity of phenylsulfonyl carboxylates to Vibrio fischeri using genetic function approximation.

Kunal Roy1, Gopinath Ghosh.   

Abstract

In continuation of our recent efforts to model the acute toxicity of 56 phenylsulfonyl carboxylates to Vibrio fischeri using principal component factor analysis, the present paper deals with modeling of the same data set with extended topochemical atom (ETA) indices using genetic function approximation (GFA) as the statistical tool. The statistical quality of the best model using ETA descriptors is as follows: n=56, Q2=0.771, Ra2=0.861, R=0.935, F=69.0 (df5,50), s=0.172, AVRES=0.128. This equation was better in statistical quality than that obtained previously using principal component factor analysis as the data-preprocessing step. An attempt was also made to model the data set with different nonETA parameters (topological indices including Wiener, Hosoya Z, molecular connectivity, kappa shape, Balaban J and E-State parameters apart from physicochemical parameters like AlogP98, MolRef and H_bond_acceptor) and the best model showed the following quality: n=56, Q2=0.805, Ra2=0.820, R=0.913, F=53.5 (df4,51), s=0.196, AVRES=0.136. An attempt to use both ETA and nonETA parameters lead to an equation which is marginally better than the best ETA model: n=56, Q2=0.779, Ra2=0.865, R=0.937, F=71.7 (df5,50), s=0.169, AVRES=0.127. Use of the ETA indices suggested negative contributions of steric bulk, functionality of C10, volume of substituents on C10 and functionalities of chloro and nitro substituents at X1 position and positive contributions of functionalities of C4 and C1 and presence of substituents with electronegative atoms, especially at R2 and R3 positions. Furthermore, absence of substituents at R2 and R3 positions decreases toxicity. This study corroborates the results obtained from principal component factor analysis and suggests that ETA parameters are sufficiently rich in chemical information to encode the structural features contributing significantly to the acute toxicity of phenylsulfonyl carboxylates to V. fischeri.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15670927     DOI: 10.1016/j.bmc.2004.11.014

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  4 in total

1.  QSTR with extended topochemical atom (ETA) indices. VI. Acute toxicity of benzene derivatives to tadpoles (Rana japonica).

Authors:  Kunal Roy; Gopinath Ghosh
Journal:  J Mol Model       Date:  2005-10-26       Impact factor: 1.810

2.  A novel RBF neural network training methodology to predict toxicity to Vibrio fischeri.

Authors:  Georgia Melagraki; Antreas Afantitis; Haralambos Sarimveis; Olga Igglessi-Markopoulou; Alex Alexandridis
Journal:  Mol Divers       Date:  2006-06-27       Impact factor: 2.943

3.  Ecotoxicological modeling and risk assessment using chemometric tools.

Authors:  Kunal Roy
Journal:  Mol Divers       Date:  2006-05       Impact factor: 2.943

4.  Boosted feature selectors: a case study on prediction P-gp inhibitors and substrates.

Authors:  Gonzalo Cerruela García; Nicolás García-Pedrajas
Journal:  J Comput Aided Mol Des       Date:  2018-10-26       Impact factor: 3.686

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.