Prediction of potential drug targets based on simple sequence properties

Background: During the past decades, research and development in drug discovery have attracted much attention and efforts. However, only 324 drug targets are known for clinical drugs up to now. Identifying potential drug targets is the first step in the process of modern drug discovery for developing novel therapeutic agents. Therefore, the identification and validation of new and effective drug targets are of great value for drug discovery in both academia and pharmaceutical industry. If a protein can be predicted in advance for its potential application as a drug target, the drug discovery process targeting this protein will be greatly speeded up. In the current study, based on the properties of known drug targets, we have developed a sequencebased drug target prediction method for fast identification of novel drug targets. Results: Based on simple physicochemical properties extracted from protein sequences of known drug targets, several support vector machine models have been const...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Qingliang Li, Luhua Lai
• Keywords: BMCBI 2007, Drug Discovery, Drug Target, Potential Drug Targets