CONET： a virtual human system-centered platform for drug discovery

作     者：Doheon LEE 

作者机构：Bio-Synergy National Research Center Korea Advanced Institute of Science and Technology (KAIST) Daejeon 305-701 Korea 

出 版 物：《Frontiers of Computer Science》 (中国计算机科学前沿（英文版）)

年 卷 期：2018年第12卷第1期

页      面：1-3页

核心收录：

学科分类：1007[医学-药学(可授医学、理学学位)] 100705[医学-微生物与生化药学] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 10[医学] 

基　　金：supported by the Bio-Synergy Research Project of the Ministry of Science ICT through the National Research Foundation 

摘      要：One of the most promising approaches to overcome the cur- rent limits of new drug development is to utilize natural prod- ucts with known empirical efficacy, i.e., reverse pharmacol- ogy [ 1,2]. Natural product-based drugs can be classified into two categories, natural product-derived compounds （NPC） and natural product extracts （NPE）. NPC means pure com- pounds derived from natural products. Aspirin from willow trees and Taxol from pacific yew trees are famous examples of the NPC drugs.