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Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes

BACKGROUND: An important mechanism of endocrine activity is chemicals entering target cells via transport proteins and then interacting with hormone receptors such as the estrogen receptor (ER). α-Fetoprotein (AFP) is a major transport protein in rodent serum that can bind and sequester estrogens, t...

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Autores principales: Shen, Jie, Zhang, Wenqian, Fang, Hong, Perkins, Roger, Tong, Weida, Hong, Huixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851483/
https://www.ncbi.nlm.nih.gov/pubmed/24266910
http://dx.doi.org/10.1186/1471-2105-14-S14-S6
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author Shen, Jie
Zhang, Wenqian
Fang, Hong
Perkins, Roger
Tong, Weida
Hong, Huixiao
author_facet Shen, Jie
Zhang, Wenqian
Fang, Hong
Perkins, Roger
Tong, Weida
Hong, Huixiao
author_sort Shen, Jie
collection PubMed
description BACKGROUND: An important mechanism of endocrine activity is chemicals entering target cells via transport proteins and then interacting with hormone receptors such as the estrogen receptor (ER). α-Fetoprotein (AFP) is a major transport protein in rodent serum that can bind and sequester estrogens, thus preventing entry to the target cell and where they could otherwise induce ER-mediated endocrine activity. Recently, we reported rat AFP binding affinities for a large set of structurally diverse chemicals, including 53 binders and 72 non-binders. However, the lack of three-dimensional (3D) structures of rat AFP hinders further understanding of the structural dependence for binding. Therefore, a 3D structure of rat AFP was built using homology modeling in order to elucidate rat AFP-ligand binding modes through docking analyses and molecular dynamics (MD) simulations. METHODS: Homology modeling was first applied to build a 3D structure of rat AFP. Molecular docking and Molecular Mechanics-Generalized Born Surface Area (MM-GBSA) scoring were then used to examine potential rat AFP ligand binding modes. MD simulations and free energy calculations were performed to refine models of binding modes. RESULTS: A rat AFP tertiary structure was first obtained using homology modeling and MD simulations. The rat AFP-ligand binding modes of 13 structurally diverse, representative binders were calculated using molecular docking, (MM-GBSA) ranking and MD simulations. The key residues for rat AFP-ligand binding were postulated through analyzing the binding modes. CONCLUSION: The optimized 3D rat AFP structure and associated ligand binding modes shed light on rat AFP-ligand binding interactions that, in turn, provide a means to estimate binding affinity of unknown chemicals. Our results will assist in the evaluation of the endocrine disruption potential of chemicals.
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spelling pubmed-38514832013-12-20 Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes Shen, Jie Zhang, Wenqian Fang, Hong Perkins, Roger Tong, Weida Hong, Huixiao BMC Bioinformatics Proceedings BACKGROUND: An important mechanism of endocrine activity is chemicals entering target cells via transport proteins and then interacting with hormone receptors such as the estrogen receptor (ER). α-Fetoprotein (AFP) is a major transport protein in rodent serum that can bind and sequester estrogens, thus preventing entry to the target cell and where they could otherwise induce ER-mediated endocrine activity. Recently, we reported rat AFP binding affinities for a large set of structurally diverse chemicals, including 53 binders and 72 non-binders. However, the lack of three-dimensional (3D) structures of rat AFP hinders further understanding of the structural dependence for binding. Therefore, a 3D structure of rat AFP was built using homology modeling in order to elucidate rat AFP-ligand binding modes through docking analyses and molecular dynamics (MD) simulations. METHODS: Homology modeling was first applied to build a 3D structure of rat AFP. Molecular docking and Molecular Mechanics-Generalized Born Surface Area (MM-GBSA) scoring were then used to examine potential rat AFP ligand binding modes. MD simulations and free energy calculations were performed to refine models of binding modes. RESULTS: A rat AFP tertiary structure was first obtained using homology modeling and MD simulations. The rat AFP-ligand binding modes of 13 structurally diverse, representative binders were calculated using molecular docking, (MM-GBSA) ranking and MD simulations. The key residues for rat AFP-ligand binding were postulated through analyzing the binding modes. CONCLUSION: The optimized 3D rat AFP structure and associated ligand binding modes shed light on rat AFP-ligand binding interactions that, in turn, provide a means to estimate binding affinity of unknown chemicals. Our results will assist in the evaluation of the endocrine disruption potential of chemicals. BioMed Central 2013-10-09 /pmc/articles/PMC3851483/ /pubmed/24266910 http://dx.doi.org/10.1186/1471-2105-14-S14-S6 Text en Copyright © 2013 Shen et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Shen, Jie
Zhang, Wenqian
Fang, Hong
Perkins, Roger
Tong, Weida
Hong, Huixiao
Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
title Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
title_full Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
title_fullStr Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
title_full_unstemmed Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
title_short Homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
title_sort homology modeling, molecular docking, and molecular dynamics simulations elucidated α-fetoprotein binding modes
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3851483/
https://www.ncbi.nlm.nih.gov/pubmed/24266910
http://dx.doi.org/10.1186/1471-2105-14-S14-S6
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