药物靶点
计算机科学
领域(数学)
计算模型
计算生物学
药物开发
药物发现
药品
机器学习
人工智能
数据科学
生物信息学
医学
生物
药理学
数学
纯数学
作者
Qi Zhao,Haifan Yu,Mingxuan Ji,Yan Zhao,Xing Chen
出处
期刊:Current Protein & Peptide Science
[Bentham Science Publishers]
日期:2019-01-24
卷期号:20 (6): 492-494
被引量:28
标识
DOI:10.2174/1389203720666190123164310
摘要
In the medical field, drug-target interactions are very important for the diagnosis and treatment of diseases, they also can help researchers predict the link between biomolecules in the biological field, such as drug-protein and protein-target correlations. Therefore, the drug-target research is a very popular study in both the biological and medical fields. However, due to the limitations of manual experiments in the laboratory, computational prediction methods for drug-target relationships are increasingly favored by researchers. In this review, we summarize several computational prediction models of the drug-target connections during the past two years, and briefly introduce their advantages and shortcomings. Finally, several further interesting research directions of drug-target interactions are listed.
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