Chemometric modeling of larvicidal activity of plant derived compounds against zika virus vectorAedes aegypti: application of ETA indices-Reference-Cited by-同舟云学术

Chemometric modeling of larvicidal activity of plant derived compounds against zika virus vectorAedes aegypti: application of ETA indices

Published:2018 Issue:9 Volume:8 Page:4662-4670
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

De Priyanka¹²³⁴⁵,Aher Rahul B.¹²³⁴⁵,Roy Kunal¹²³⁴⁵^ORCID

Affiliation:

1. Drug Theoretics and Cheminformatics Laboratory

2. Department of Pharmaceutical Technology

3. Jadavpur University

4. Kolkata 700 032

5. India

Abstract

Dengue, zika and chikungunya have severe public health concerns in several countries. We have developed here a QSAR model for larvicidal activity of plant derived compounds against the vectorAedes aegypti.

Funder

All India Council for Technical Education

University Grants Commission

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/RA/C7RA13159C

Reference38 articles.

1. The Global Emergence/Resurgence of Arboviral Diseases As Public Health Problems

2. Synthesis and bioassay of improved mosquito repellents predicted from chemical structure

3. http://www.who.int/csr/don/25-august-2017-chikungunya-france/en/ , accessed on 3.11.2017

4. http://www.who.int/csr/don/29-september-2017-chikungunya-italy/en/ , accessed on 3.11.2017

5. http://www.who.int/mediacentre/commentaries/yellow-fever/en/ , accessed on 3.11.2017

Cited by 26 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantitative read-across structure-activity relationship (q-RASAR): A novel approach to estimate the subchronic oral safety (NOAEL) of diverse organic chemicals in rats;Toxicology;2024-06

2. Towards safer pesticide management: A quantitative structure-activity relationship based hazard prediction model;Science of The Total Environment;2024-03

3. The first report on the assessment of maximum acceptable daily intake (MADI) of pesticides for humans using intelligent consensus predictions;Environmental Science: Processes & Impacts;2024

4. Insights into corrosion inhibition development through QSAR and machine learning: Application to benzimidazole derivatives;International Journal of Corrosion and Scale Inhibition;2023-12-24

5. Discovering New Color Developers for Thermochromic Microcapsules Using a Variational Autoencoder;2023-10-10