Nature Communications (Mar 2023)
Assessment of community efforts to advance network-based prediction of protein–protein interactions
- Xu-Wen Wang,
- Lorenzo Madeddu,
- Kerstin Spirohn,
- Leonardo Martini,
- Adriano Fazzone,
- Luca Becchetti,
- Thomas P. Wytock,
- István A. Kovács,
- Olivér M. Balogh,
- Bettina Benczik,
- Mátyás Pétervári,
- Bence Ágg,
- Péter Ferdinandy,
- Loan Vulliard,
- Jörg Menche,
- Stefania Colonnese,
- Manuela Petti,
- Gaetano Scarano,
- Francesca Cuomo,
- Tong Hao,
- Florent Laval,
- Luc Willems,
- Jean-Claude Twizere,
- Marc Vidal,
- Michael A. Calderwood,
- Enrico Petrillo,
- Albert-László Barabási,
- Edwin K. Silverman,
- Joseph Loscalzo,
- Paola Velardi,
- Yang-Yu Liu
Affiliations
- Xu-Wen Wang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School
- Lorenzo Madeddu
- Translational and Precision Medicine Department Sapienza University of Rome
- Kerstin Spirohn
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute
- Leonardo Martini
- Department of Computer, Control, and Management Engineering “Antonio Rubert”, Sapienza University of Rome
- Adriano Fazzone
- CENTAI Institute
- Luca Becchetti
- Department of Computer, Control, and Management Engineering “Antonio Rubert”, Sapienza University of Rome
- Thomas P. Wytock
- Department of Physics and Astronomy, Northwestern University
- István A. Kovács
- Department of Physics and Astronomy, Northwestern University
- Olivér M. Balogh
- Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University
- Bettina Benczik
- Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University
- Mátyás Pétervári
- Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University
- Bence Ágg
- Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University
- Péter Ferdinandy
- Cardiometabolic and MTA-SE System Pharmacology Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University
- Loan Vulliard
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Jörg Menche
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Stefania Colonnese
- Department of Information Engineering, Electronics, and Telecommunications (DIET), University of Rome “Sapienza”
- Manuela Petti
- Department of Computer, Control, and Management Engineering “Antonio Rubert”, Sapienza University of Rome
- Gaetano Scarano
- Department of Information Engineering, Electronics, and Telecommunications (DIET), University of Rome “Sapienza”
- Francesca Cuomo
- Department of Information Engineering, Electronics, and Telecommunications (DIET), University of Rome “Sapienza”
- Tong Hao
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute
- Florent Laval
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute
- Luc Willems
- Laboratory of Molecular and Cellular Epigenetic, GIGA Institute, University of Liège
- Jean-Claude Twizere
- Laboratory of Viral Interactomes, GIGA Institute, University of Liège
- Marc Vidal
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute
- Michael A. Calderwood
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute
- Enrico Petrillo
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School
- Albert-László Barabási
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School
- Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School
- Joseph Loscalzo
- Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School
- Paola Velardi
- Translational and Precision Medicine Department Sapienza University of Rome
- Yang-Yu Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School
- DOI
- https://doi.org/10.1038/s41467-023-37079-7
- Journal volume & issue
-
Vol. 14,
no. 1
pp. 1 – 14
Abstract
Comprehensive understanding of the human protein-protein interaction network, aka the human interactome, can provide important insights into the molecular mechanisms of complex biological processes and diseases. Here the authors summarize the community efforts initiated by the International Network Medicine Consortium to benchmark the ability of 26 representative network-based methods to predict protein-protein interactions.
