@article{TEXTUAL,
      recid = {9872},
      author = {Zaydman, Mark A. and Little, Alexander S. and Haro, Fidel  and Aksianiuk, Valeryia and Buchser, William J. and  Diantonio, Aaron and Gordon, Jeffrey I. and Milbrandt,  Jeffrey and Raman, Arjun S.},
      title = {Defining hierarchical protein interaction networks from  spectral analysis of bacterial proteomes},
      journal = {eLife},
      address = {2022-08-17},
      number = {TEXTUAL},
      abstract = {Cellular behaviors emerge from layers of molecular  interactions: proteins interact to form complexes,  pathways, and phenotypes. We show that hierarchical  networks of protein interactions can be defined from the  statistical pattern of proteome variation measured across  thousands of diverse bacteria and that these networks  reflect the emergence of complex bacterial phenotypesOur  results are validated through gene-set enrichment analysis  and comparison to existing exper-imentally derived  databases. We demonstrate the biological utility of our  approach by creating a model of motility in Pseudomonas  aeruginosa and using it to identify a protein that affects  pilus-mediated motility. Our method, SCALES (Spectral  Correlation Analysis of Layered Evolutionary Signals), may  be useful for interrogating genotype-phenotype  relationships in bacteria.},
      url = {http://knowledge.uchicago.edu/record/9872},
}