Virtual Screening: A Challenge for Deep Learning
By Javier Pérez-Sianes, Horacio Emilio Pérez Sánchez, Fernando Díaz. 2016
13 citations recorded by the source corpus.
Subfields: Biophysics, Computational Theory and Mathematics, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biophysics
- Casey S. Greene
- G. Way
- Brett K. Beaulieu-Jones
- Anne E Carpenter
- Yanjun Qi
- Jinbo Xu
- Anshul B Kundaje
- Srinivas C. Turaga
In Computational Theory and Mathematics
- Zhiyong Lu
- Brett K. Beaulieu-Jones
- Yanjun Qi
- Jinbo Xu
- Casey S. Greene
- Srinivas C. Turaga
- Marwin H. S. Segler
- S. Joshua Swamidass
In Molecular Biology
- Casey S. Greene
- Yifan Peng
- Brett K. Beaulieu-Jones
- G. Way
- Amr M. Alexandari
- Zhiyong Lu
- Avanti Shrikumar
- S. Joshua Swamidass
Citations in the corpus
- Opportunities and obstacles for deep learning in biology and medicine (2017, background): “In the biomedical domain, high-throughput chemical screening aims to improve therapeutic options over a long term horizon [20].”