Molecular Systems Biology Peer Review Process File Systematic Identification of Proteins That Elicit Drug Side Effects Transaction Report

By Michael Kuhn, Al Banchaabouchi, Monica Campillos, Lars Juhl Jensen, Cornelius Gross, A. Gavin

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Damian Szklarczyk
2. Ivica Letunic
3. Peer Bork
4. Michael Kuhn
5. Lars Juhl Jensen
6. C. von Mering
7. Sune Frankild
8. Jaime Huerta-Cepas

Citations in the corpus

• The SIDER database of drugs and side effects (2015, background): “For example, it was shown that ADRs can be used to predict drug targets (1) and that causal relations between targets and ADRs can be elucidated (2,3).”
• STITCH 4: integration of protein–chemical interactions with user data (2013, methodology): “Many research groups have already used STITCH 3 in this way; a few examples illustrating different utilities follow: STITCH has been used to determine which proteins cause side effects during drug treatment (38,39) by combining the STITCH network with data from a side effect database (40).”