Recent progresses in the exploration of machine learning methods as in-silico ADME prediction tools.

By Lin Tao, Peng Zhang, Chu Qin, S. Chen, Cheng Zhang, Zhe Chen, Feng Zhu, Sheng-Yong Yang, Yuquan Wei, Yuzong Chen. 2015

95 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, 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 Computational Theory and Mathematics

1. Xianhuan Shen
2. Langhui Li
3. M. Tan
4. Zunnan Huang
5. Xiaoqing Wang
6. Ganying Chen
7. Yuquan Zhou
8. Xianyang Liang

In Molecular Biology

1. Xianhuan Shen
2. Langhui Li
3. M. Tan
4. Zunnan Huang
5. Xiaoqing Wang
6. Ganying Chen
7. Yuquan Zhou
8. Xianyang Liang

Citations in the corpus

• Computational Approaches in Preclinical Studies on Drug Discovery and Development (2020, background): “Tao et al. (2015) reviewed the progress of machine learning methods in ADMET prediction and discussed the performance, applications, and challenges in developing machine learning methods.”