Author

Sadie Schlabach

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Systems Biology· 3

Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Organism:human· 2 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Approach:matrix factorization· 1 Organism:multiple species· 1

Frequent Co-Authors

Dae‐Kyum KimiD· 3 shared István A. KovácsiD· 3 shared Katja LuckiD· 3 shared Kerstin SpirohniD· 3 shared Marc VidaliD· 3 shared Michael A. CalderwoodiD· 3 shared Nishka KishoreiD· 3 shared Tong HaoiD· 3 shared

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2019-2021 · peak 2/yr

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10 top collaborators · 45 mutual co-author links

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3 shared papersSystems Biology

Dae‐Kyum KimORCID

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3 papers

Recent·Most cited

Binary Interactome Models of Inner- Versus Outer-Complexome Organization

Luke Lambourne, Anupama Yadav, Yang Wang, Alice Desbuleux, Dae‐Kyum Kim, Tiziana M. Cafarelli, Carles Pons, István A. Kovács, Noor Jailkhani, Sadie Schlabach, David De Ridder, Katja Luck, Wenting Bian, Yun Shen, Zhipeng Yang, , Marc Vidal

The paper constructs a high-quality yeast binary interactome map and compares inner- and outer-complexome organization, finding the outer-complexome contains more interactions and exhibits higher functional heterogeneity.

bioRxiv · Mar 16, 2021 · PreprintSystems Biology

A reference map of the human protein interactome

Katja Luck, Dae‐Kyum Kim, Luke Lambourne, Kerstin Spirohn, Bridget E. Begg, Wenting Bian, Ruth Brignall, Tiziana M. Cafarelli, Francisco Jose Campos-Laborie, Benoît Charloteaux, Dongsic Choi, Atina G. Coté, Meaghan Daley, Steven J. Deimling, Alice Desbuleux, , Michael A. Calderwood

The paper presents HuRI, a comprehensive human protein-protein interaction map, and demonstrates its utility in understanding cellular function and disease mechanisms.

bioRxiv · Apr 19, 2019 · PreprintSystems Biology

Network-based prediction of protein interactions

István A. Kovács, Katja Luck, Kerstin Spirohn, Yang Wang, Carl Pollis, Sadie Schlabach, Wenting Bian, Dae‐Kyum Kim, Nishka Kishore, Tong Hao, Michael A. Calderwood, Marc Vidal, Albert-Ĺaszló Barabási

The paper challenges the Triadic Closure Principle in protein interaction prediction and introduces the L3 principle, which outperforms existing methods and identifies novel interactions.

Nature Communications · Mar 18, 2019Peer-reviewedSystems Biology