Structure-based virtual screening for insect ecdysone receptor ligands using MM/PBSA.


Journal

Bioorganic & medicinal chemistry
ISSN: 1464-3391
Titre abrégé: Bioorg Med Chem
Pays: England
ID NLM: 9413298

Informations de publication

Date de publication:
15 03 2019
Historique:
received: 13 11 2018
revised: 01 02 2019
accepted: 04 02 2019
pubmed: 17 2 2019
medline: 16 1 2020
entrez: 17 2 2019
Statut: ppublish

Résumé

The ecdysone receptor (EcR) is an insect nuclear receptor that is activated by the molting hormone, 20-hydroxyecdysone. Because synthetic EcR ligands disrupt the normal growth of insects, they are attractive candidates for new insecticides. In this study, the Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) method was used to predict the binding activity of EcR ligands. Validity analyses using 40 known EcR ligands showed that the binding activity was satisfactorily predicted when the ligand conformational free energy term was introduced. Subsequently, this MM/PBSA method was applied to structure-based hierarchical virtual screening, and 12 candidate compounds were selected from a database of 3.8 million compounds. Five of these compounds were active in a cell-based competitive binding assay. The most potent compound is a simple proline derivative with low micromolar binding activity, representing a valuable lead compound for further structural optimization.

Identifiants

pubmed: 30770256
pii: S0968-0896(18)31929-1
doi: 10.1016/j.bmc.2019.02.011
pii:
doi:

Substances chimiques

Insect Proteins 0
Insecticides 0
Ligands 0
Receptors, Steroid 0
ecdysone receptor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1065-1075

Informations de copyright

Copyright © 2019 Elsevier Ltd. All rights reserved.

Auteurs

Shinri Horoiwa (S)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Taiyo Yokoi (T)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Satoru Masumoto (S)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Saki Minami (S)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Chiharu Ishizuka (C)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Hidetoshi Kishikawa (H)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Shunsuke Ozaki (S)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Shigeki Kitsuda (S)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Yoshiaki Nakagawa (Y)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan. Electronic address: naka@kais.kyoto-u.ac.jp.

Hisashi Miyagawa (H)

Division of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Photosynthesis Ribulose-Bisphosphate Carboxylase Carbon Dioxide Molecular Dynamics Simulation Cyanobacteria
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice

Classifications MeSH