Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination.

By Di Chen, Huamin Zhang, Peng Lu, Xianli Liu, H. Cao. 2016

59 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology

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. Marinka Zitnik
2. Jure Leskovec
3. Monica Agrawal
4. William L. Hamilton
5. Kexin Huang

In Molecular Biology

1. Marinka Zitnik
2. Jure Leskovec
3. Monica Agrawal
4. William L. Hamilton
5. Petar Velickovic
6. Rex Ying
7. Stephan Günnemann
8. Xinchao Wang

In Pharmacology

1. Jure Leskovec
2. Monica Agrawal
3. Marinka Zitnik

Citations in the corpus

• Modeling polypharmacy side effects with graph convolutional networks (2018, methodology): “The final network after linking entity vocabularies used by different databases has 645 drug and 19,085 protein nodes connected by 715,612 protein-protein, 4,651,131 drug-drug, and 18,596 drug-protein edges.”