Drug-target interaction prediction: databases, web servers and computational models

  title={Drug-target interaction prediction: databases, web servers and computational models},
  author={Xing Chen and Chenggang Clarence Yan and Xiaotian Zhang and Xu Zhang and Feng Dai and Jian Yin and Yongdong Zhang},
  journal={Briefings in bioinformatics},
  volume={17 4},
Identification of drug-target interactions is an important process in drug discovery. Although high-throughput screening and other biological assays are becoming available, experimental methods for drug-target interaction identification remain to be extremely costly, time-consuming and challenging even nowadays. Therefore, various computational models have been developed to predict potential drug-target associations on a large scale. In this review, databases and web servers involved in drug… CONTINUE READING
Highly Cited
This paper has 119 citations. REVIEW CITATIONS
Recent Discussions
This paper has been referenced on Twitter 4 times over the past 90 days. VIEW TWEETS


Publications citing this paper.
Showing 1-10 of 65 extracted citations

120 Citations

Citations per Year
Semantic Scholar estimates that this publication has 120 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 85 references

Similar Papers

Loading similar papers…