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PLoS One. 2020 Mar 19;15(3):e0226883. doi: 10.1371/journal.pone.0226883. eCollection 2020.

Personalized therapy design for systemic lupus erythematosus based on the analysis of protein-protein interaction networks.

Author information

Nephrology, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire, United States of America.
BINDS lab, College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, United States of America.
Department of Mechanical and Industrial Engineering, University of Mass, Amherst, Massachusetts, United States of America.
CSTS, Toronto, Ontario, Canada.
ACTISMED, srl, Torino, Italy.
DIMEAS, Politecnico di Torino, Torino, Italy.
Department of Oncology, Cross Cancer Institute, University of Alberta, Edmonton, Alberta, Canada.


We analyzed protein expression data for Lupus patients, which have been obtained from publicly available databases. A combination of systems biology and statistical thermodynamics approaches was used to extract topological properties of the associated protein-protein interaction networks for each of the 291 patients whose samples were used to provide the molecular data. We have concluded that among the many proteins that appear to play critical roles in this pathology, most of them are either ribosomal proteins, ubiquitination pathway proteins or heat shock proteins. We propose some of the proteins identified in this study to be considered for drug targeting.

Conflict of interest statement

The authors have declared that no competing interests exist.

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