Computational Modeling Oriented Substructure Splicing Application in the Identification of Thiazolidine Derivatives as Potential Low Honeybee Toxic Neonicotinoids-Reference-Cited by-同舟云学术

Computational Modeling Oriented Substructure Splicing Application in the Identification of Thiazolidine Derivatives as Potential Low Honeybee Toxic Neonicotinoids

Published:2024-05-17 Issue:21 Volume:72 Page:11968-11979
ISSN:0021-8561
Container-title:Journal of Agricultural and Food Chemistry
language:en
Short-container-title:J. Agric. Food Chem.

Author:

Zhou Cong¹^ORCID,Kong Yijin¹,Zhang Huihui²,Zhai Na¹,Li Zhong¹^ORCID,Qian Xuhong¹³,Liu Zewen²^ORCID,Cheng Jiagao¹^ORCID

Affiliation:

1. Shanghai Key Laboratory of Chemical Biology, School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China

2. Key Laboratory of Integrated Management of Crop Diseases and Pests (Ministry of Education), College of Plant Protection, Nanjing Agricultural University, Nanjing 210095, China

3. School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China

Funder

Natural Science Foundation of Shanghai Municipality

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jafc.4c00461

Reference46 articles.

1. Nicotinic Acetylcholine Receptor Agonists: A Milestone for Modern Crop Protection

2. Robust functional expression of insect nicotinic acetylcholine receptors provides new insights into neonicotinoid actions and new opportunities for pest and vector control

3. Neonicotinoid Insecticides: Molecular Targets, Resistance, and Toxicity

4. Neonicotinoids: molecular mechanisms of action, insights into resistance and impact on pollinators

5. Crop protection compounds – trends and perspective