Cargando…
Computational methods for drug design and discovery: focus on China
In the past decades, China's computational drug design and discovery research has experienced fast development through various novel methodologies. Application of these methods spans a wide range, from drug target identification to hit discovery and lead optimization. In this review, we firstly...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126378/ https://www.ncbi.nlm.nih.gov/pubmed/24035675 http://dx.doi.org/10.1016/j.tips.2013.08.004 |
_version_ | 1783516133158027264 |
---|---|
author | Zheng, Mingyue Liu, Xian Xu, Yuan Li, Honglin Luo, Cheng Jiang, Hualiang |
author_facet | Zheng, Mingyue Liu, Xian Xu, Yuan Li, Honglin Luo, Cheng Jiang, Hualiang |
author_sort | Zheng, Mingyue |
collection | PubMed |
description | In the past decades, China's computational drug design and discovery research has experienced fast development through various novel methodologies. Application of these methods spans a wide range, from drug target identification to hit discovery and lead optimization. In this review, we firstly provide an overview of China's status in this field and briefly analyze the possible reasons for this rapid advancement. The methodology development is then outlined. For each selected method, a short background precedes an assessment of the method with respect to the needs of drug discovery, and, in particular, work from China is highlighted. Furthermore, several successful applications of these methods are illustrated. Finally, we conclude with a discussion of current major challenges and future directions of the field. |
format | Online Article Text |
id | pubmed-7126378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71263782020-04-08 Computational methods for drug design and discovery: focus on China Zheng, Mingyue Liu, Xian Xu, Yuan Li, Honglin Luo, Cheng Jiang, Hualiang Trends Pharmacol Sci Review In the past decades, China's computational drug design and discovery research has experienced fast development through various novel methodologies. Application of these methods spans a wide range, from drug target identification to hit discovery and lead optimization. In this review, we firstly provide an overview of China's status in this field and briefly analyze the possible reasons for this rapid advancement. The methodology development is then outlined. For each selected method, a short background precedes an assessment of the method with respect to the needs of drug discovery, and, in particular, work from China is highlighted. Furthermore, several successful applications of these methods are illustrated. Finally, we conclude with a discussion of current major challenges and future directions of the field. Elsevier Ltd. 2013-10 2013-09-11 /pmc/articles/PMC7126378/ /pubmed/24035675 http://dx.doi.org/10.1016/j.tips.2013.08.004 Text en Copyright © 2013 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Review Zheng, Mingyue Liu, Xian Xu, Yuan Li, Honglin Luo, Cheng Jiang, Hualiang Computational methods for drug design and discovery: focus on China |
title | Computational methods for drug design and discovery: focus on China |
title_full | Computational methods for drug design and discovery: focus on China |
title_fullStr | Computational methods for drug design and discovery: focus on China |
title_full_unstemmed | Computational methods for drug design and discovery: focus on China |
title_short | Computational methods for drug design and discovery: focus on China |
title_sort | computational methods for drug design and discovery: focus on china |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126378/ https://www.ncbi.nlm.nih.gov/pubmed/24035675 http://dx.doi.org/10.1016/j.tips.2013.08.004 |
work_keys_str_mv | AT zhengmingyue computationalmethodsfordrugdesignanddiscoveryfocusonchina AT liuxian computationalmethodsfordrugdesignanddiscoveryfocusonchina AT xuyuan computationalmethodsfordrugdesignanddiscoveryfocusonchina AT lihonglin computationalmethodsfordrugdesignanddiscoveryfocusonchina AT luocheng computationalmethodsfordrugdesignanddiscoveryfocusonchina AT jianghualiang computationalmethodsfordrugdesignanddiscoveryfocusonchina |