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Connection

Lila Gierasch to Protein Domains

This is a "connection" page, showing publications Lila Gierasch has written about Protein Domains.
Connection Strength

1.923
  1. Clerico EM, Pozhidaeva AK, Jansen RM, ?zden C, Tilitsky JM, Gierasch LM. Selective promiscuity in the binding of E. coli Hsp70 to an unfolded protein. Proc Natl Acad Sci U S A. 2021 10 12; 118(41).
    View in: PubMed
    Score: 0.714
  2. English CA, Sherman W, Meng W, Gierasch LM. The Hsp70 interdomain linker is a dynamic switch that enables allosteric communication between two structured domains. J Biol Chem. 2017 09 08; 292(36):14765-14774.
    View in: PubMed
    Score: 0.534
  3. Rossi MA, Pozhidaeva AK, Clerico EM, Petridis C, Gierasch LM. New insights into the structure and function of the complex?between the Escherichia coli Hsp70, DnaK, and its nucleotide-exchange factor, GrpE. J Biol Chem. 2024 01; 300(1):105574.
    View in: PubMed
    Score: 0.208
  4. Mayer MP, Gierasch LM. Recent advances in the structural and mechanistic aspects of Hsp70 molecular chaperones. J Biol Chem. 2019 02 08; 294(6):2085-2097.
    View in: PubMed
    Score: 0.146
  5. Meng W, Clerico EM, McArthur N, Gierasch LM. Allosteric landscapes of eukaryotic cytoplasmic Hsp70s are shaped by evolutionary tuning of key interfaces. Proc Natl Acad Sci U S A. 2018 11 20; 115(47):11970-11975.
    View in: PubMed
    Score: 0.146
  6. Lai AL, Clerico EM, Blackburn ME, Patel NA, Robinson CV, Borbat PP, Freed JH, Gierasch LM. Key features of an Hsp70 chaperone allosteric landscape revealed by ion-mobility native mass spectrometry and double electron-electron resonance. J Biol Chem. 2017 05 26; 292(21):8773-8785.
    View in: PubMed
    Score: 0.131
  7. Nordquist EB, English CA, Clerico EM, Sherman W, Gierasch LM, Chen J. Physics-based modeling provides predictive understanding of selectively promiscuous substrate binding by Hsp70 chaperones. PLoS Comput Biol. 2021 11; 17(11):e1009567.
    View in: PubMed
    Score: 0.045
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.