A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing

David E. Gordon; Gwendolyn M. Jang; Mehdi Bouhaddou; Jiewei Xu; Kirsten Obernier; Matthew J O'Meara; Jeffrey Z. Guo; Danielle L. Swaney; Tia A. Tummino; Ruth Huttenhain; Robyn Kaake; Alicia L. Richards; Beril Tutuncuoglu; Helene Foussard; Jyoti Batra; Kelsey Haas; Maya Modak; Minkyu Kim; Paige Haas; Benjamin J. Polacco; Hannes Braberg; Jacqueline M. Fabius; Manon Eckhardt; Margaret Soucheray; Melanie Brewer; Merve Cakir; Michael J. McGregor; Qiongyu Li; Zun Zar Chi Naing; Yuan Zhou; Shiming Peng; Ilsa T. Kirby; James E. Melnyk; John S Chorba; Kevin Lou; Shizhong A. Dai; Wenqi Shen; Ying Shi; Ziyang Zhang; Inigo Barrio-Hernandez; Danish Memon; Claudia Hernandez-Armenta; Christopher J.P. Mathy; Tina Perica; Kala B. Pilla; Sai J. Ganesan; Daniel J. Saltzberg; Rakesh Ramachandran; Xi Liu; Sara B. Rosenthal; Lorenzo Calviello; Srivats Venkataramanan; Yizhu Lin; Stephanie A. Wankowicz; Markus Bohn; Phillip P. Sharp; Raphael Trenker; Janet M. Young; Devin A. Cavero; Joseph Hiatt; Theo Roth; Ujjwal Rathore; Advait Subramanian; Julia Noack; Mathieu Hubert; Ferdinand Roesch; Thomas Vallet; Björn Meyer; Kris M. White; Lisa Miorin; Oren S. Rosenberg; Kliment A. Verba; David Agard; Melanie Ott; Michael Emerman; Davide Ruggero; Adolfo Garcí-Sastre; Natalia Jura; Mark von Zastrow; Jack Taunton; Olivier Schwartz; Marco Vignuzzi; Christophe d'Enfert; Shaeri Mukherjee; Matt Jacobson; Harmit S. Malik; Danica G Fujimori; Trey Ideker; Charles S Craik; Stephen Floor; James S. Fraser; John Gross; Andrej Sali; Tanja Kortemme; Pedro Beltrao; Kevan Shokat; Brian K. Shoichet; Nevan J. Krogan

For all proteins that fulfilled these criteria we extracted information about stable protein complexes they participate in from the CORUM 98 database of known protein complexes. In the second step we then relaxed the stringency and recovered additional interactors that (1) form complexes with interactors determined in filtering step 1 and (2) fulfill the following criteria: MiST score ≥ 0.6, SAINTexpress BFDR ≤ 0.05 and average spectral counts ≥ 2. Proteins that fulfilled filtering criteria in either step 1 or step 2 were considered to be HC-PPIs and visualized with cytoscape 99 . Using this filtering criteria, nearly all of our baits recovered a number of HC-PPIs in close alignment with previous datasets reporting an average of ~6 PPIs per bait 100 . However, for a subset of baits (Orf8, Nsp8, Nsp13, and orf9c) we observed a much higher number of PPIs passing these filtering criteria. For these four baits, the MiST scoring was instead performed using an larger in-house database of 87 baits that were prepared and processed in an analogous manner to this SARS-CoV-2 dataset. This was done to provide a more comprehensive collection of baits for comparison, to minimize the classification of non-specifically binding background proteins as HC-PPIs. All mass spectrometry raw data and search results files have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD018117 101, 102 . PPI networks have also been uploaded to NDEx.