A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era
Identifying drug targets plays essential roles in designing new drugs and combating diseases. Unfortunately, our current knowledge about drug targets is far from comprehensive. Screening drug targets in the lab is an expensive and time-consuming procedure. In the past decade, the accumulation of var...
| Main Authors: | , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2015
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427773/ |
| id |
pubmed-4427773 |
|---|---|
| recordtype |
oai_dc |
| spelling |
pubmed-44277732015-06-09 A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era Dai, Yan-Fen Zhao, Xing-Ming Review Article Identifying drug targets plays essential roles in designing new drugs and combating diseases. Unfortunately, our current knowledge about drug targets is far from comprehensive. Screening drug targets in the lab is an expensive and time-consuming procedure. In the past decade, the accumulation of various types of omics data makes it possible to develop computational approaches to predict drug targets. In this paper, we make a survey on the recent progress being made on computational methodologies that have been developed to predict drug targets based on different kinds of omics data and drug property data. Hindawi Publishing Corporation 2015 2015-04-28 /pmc/articles/PMC4427773/ /pubmed/26060814 http://dx.doi.org/10.1155/2015/239654 Text en Copyright © 2015 Y.-F. Dai and X.-M. Zhao. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Dai, Yan-Fen Zhao, Xing-Ming |
| spellingShingle |
Dai, Yan-Fen Zhao, Xing-Ming A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era |
| author_facet |
Dai, Yan-Fen Zhao, Xing-Ming |
| author_sort |
Dai, Yan-Fen |
| title |
A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era |
| title_short |
A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era |
| title_full |
A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era |
| title_fullStr |
A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era |
| title_full_unstemmed |
A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era |
| title_sort |
survey on the computational approaches to identify drug targets in the postgenomic era |
| description |
Identifying drug targets plays essential roles in designing new drugs and combating diseases. Unfortunately, our current knowledge about drug targets is far from comprehensive. Screening drug targets in the lab is an expensive and time-consuming procedure. In the past decade, the accumulation of various types of omics data makes it possible to develop computational approaches to predict drug targets. In this paper, we make a survey on the recent progress being made on computational methodologies that have been developed to predict drug targets based on different kinds of omics data and drug property data. |
| publisher |
Hindawi Publishing Corporation |
| publishDate |
2015 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4427773/ |
| _version_ |
1613222021042274304 |