Modelling the water–plant cuticular polymer matrix membrane partitioning of diverse chemicals in multiple plant species using the support vector machine-based QSAR approach-Reference-Cited by-同舟云学术

Modelling the water–plant cuticular polymer matrix membrane partitioning of diverse chemicals in multiple plant species using the support vector machine-based QSAR approach

Published:2018-01-18 Issue:3 Volume:29 Page:171-186
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Gupta S.¹,Mallick S.¹

Affiliation:

1. Plant Ecology and Environmental Science Division, CSIR-National Botanical Research Institute, Lucknow, India

Funder

Science and Engineering Research Board

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2017.1419985

Reference46 articles.

1. In silico prediction of the developmental toxicity of diverse organic chemicals in rodents for regulatory purposes

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3. Polycyclic aromatic hydrocarbons (PAHs) pollution recorded in annual rings of gingko (Gingko biloba L.): Translocation, radial diffusion, degradation and modeling

4. Modeling plant uptake of airborne organic chemicals. 1. Plant cuticle/water partitioning and molecular connectivity

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