Using LeDock as a docking tool for computational drug design

Publication typeJournal Article
Publication date2019-02-23
SJR0.214
CiteScore1.3
Impact factor
ISSN17551307, 17551315
General Engineering
Abstract
Computer-aided drug design (CADD) is an emerging tool for research and drug development process as it reduces the time taken for the process of drug development and expense. Molecular docking technology, as one of the main method, has been widely used in many fields of drug development. Based on the dopamine D3 receptor target, this paper describes the method of molecular docking using LeDock software (Windows version) in combination with the docking process of eticlopride ligand and D3 receptor. This method can predict the binding mode of ligands to proteins, including binding energy, binding sites and attractive interactions types. Four representative D3 receptor ligands, including BP897, NGB2904, FAUC365 and SB277011A, were respectively docked with D3 receptor by this method. By analyzing the docking results, we can conclude that the molecular docking method using LeDock software plays an important role in the drug design process.
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GOST |
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GOST Copy
Liu N., Xu Z. Using LeDock as a docking tool for computational drug design // IOP Conference Series: Earth and Environmental Science. 2019. Vol. 218. p. 12143.
GOST all authors (up to 50) Copy
Liu N., Xu Z. Using LeDock as a docking tool for computational drug design // IOP Conference Series: Earth and Environmental Science. 2019. Vol. 218. p. 12143.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1088/1755-1315/218/1/012143
UR - https://doi.org/10.1088/1755-1315/218/1/012143
TI - Using LeDock as a docking tool for computational drug design
T2 - IOP Conference Series: Earth and Environmental Science
AU - Liu, Ni
AU - Xu, Zhibin
PY - 2019
DA - 2019/02/23
PB - IOP Publishing
SP - 12143
VL - 218
SN - 1755-1307
SN - 1755-1315
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2019_Liu,
author = {Ni Liu and Zhibin Xu},
title = {Using LeDock as a docking tool for computational drug design},
journal = {IOP Conference Series: Earth and Environmental Science},
year = {2019},
volume = {218},
publisher = {IOP Publishing},
month = {feb},
url = {https://doi.org/10.1088/1755-1315/218/1/012143},
pages = {12143},
doi = {10.1088/1755-1315/218/1/012143}
}