Evidence map›Paper›PMID 29488109›Full record

ArticleJournal of molecular modeling2018

Computational investigation of the molecular conformation-dependent binding mode of (E)-β-farnesene analogs with a heterocycle to aphid odorant-binding proteins.

Shaoqing Du, Zhaokai Yang, Yaoguo Qin, Shanshan Wang, Hongxia Duan, Xinling Yang

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Article in Journal of molecular modeling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Key Residues Affecting Binding Affinity ofInternational journal of molecular sciences · 2022
    Article
  3. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shaoqing DuDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, 100193, China.
Zhaokai YangDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, 100193, China.
Yaoguo QinDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, 100193, China.
Shanshan WangDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, 100193, China.
Hongxia DuanDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, 100193, China. hxduan@cau.edu.cn.
Xinling YangDepartment of Applied Chemistry, College of Science, China Agricultural University, Beijing, 100193, China.

Funding

National Key Research and Development Plan 2017YFD0200504National Natural Science Foundation of China 31272075National Natural Science Foundation of China 31371946National Natural Science Foundation of China 31772207State Key Laboratory Open Fund for Biology of Plant Diseases and Insect Pests SKLOF201709
6 · The paper itself

Abstract

Odorant-binding proteins (OBPs) play an important role as ligand-transfer filters in olfactory recognition in insects. (E)-β-farnesene (EBF) is the main component of the aphid alarm pheromone and could keep aphids away from crops to prevent damage. Computational insight into the molecular binding mode of EBF analogs containing a heterocycle based on the structure of Megoura viciae OBP 3 (MvicOBP3) was obtained by molecular docking and molecular dynamics simulations. The results showed that high affinity EBF analogs substituted with an aromatic ring present a unique binding conformation in the surface cavity of MvicOBP3. A long EBF chain was located inside the cavity and was surrounded by many hydrophobic residues, while the substituted aromatic ring was exposed to the outside due to limitations from the formation of multiple hydrogen bonds. However, the low activity EBF analogs displayed an exactly inverted binding pose, with EBF loaded on the external side of the protein cavity. The affinity of the recently synthesized EBF analogs containing a triazine ring was evaluated in silico based on the binding modes described above and in vitro through fluorescence competitive binding assay reported later. Compound N1 not only showed a similar binding conformation to that of the high affinity analogs but was also found to have a much higher docking score and binding affinity than the other analogs. In addition, the docking score results correlated well with the predicted logP values for these EBF analogs, suggesting highly hydrophobic interactions between the protein and ligand. These studies provide an in silico screening model for the binding affinity of EBF analogs in order to guide their rational design based on aphid OBPs.

Indexed as

AnimalsAphidsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingReceptors, OdorantSesquiterpenesTriazinesbeta-farneseneodorant-binding proteinReceptors, OdorantSesquiterpenesTriazinesEBF analogsInsect behavior regulatorsIn silico screening modelOdorant-binding proteinsRational design

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.