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Connection

Maria Luisa Tasayco to Models, Molecular

This is a "connection" page, showing publications Maria Luisa Tasayco has written about Models, Molecular.
Connection Strength

0.177
  1. Jacobs DJ, Livesay DR, Hules J, Tasayco ML. Elucidating quantitative stability/flexibility relationships within thioredoxin and its fragments using a distance constraint model. J Mol Biol. 2006 May 05; 358(3):882-904.
    View in: PubMed
    Score: 0.052
  2. Yu WF, Tung CS, Wang H, Tasayco ML. NMR analysis of cleaved Escherichia coli thioredoxin (1-73/74-108) and its P76A variant: cis/trans peptide isomerization. Protein Sci. 2000 Jan; 9(1):20-8.
    View in: PubMed
    Score: 0.034
  3. Yang XM, Georgescu RE, Li JH, Yu WF, Tasayco ML. Recognition between disordered polypeptide chains from cleavage of an alpha/beta domain: self-versus non-self-association. Pac Symp Biocomput. 1999; 590-600.
    View in: PubMed
    Score: 0.032
  4. Tasayco ML, Chao K. NMR study of the reconstitution of the beta-sheet of thioredoxin by fragment complementation. Proteins. 1995 May; 22(1):41-4.
    View in: PubMed
    Score: 0.025
  5. Marulanda D, Tasayco ML, Cataldi M, Arriaran V, Polenova T. Resonance assignments and secondary structure analysis of E. coli thioredoxin by magic angle spinning solid-state NMR spectroscopy. J Phys Chem B. 2005 Sep 29; 109(38):18135-45.
    View in: PubMed
    Score: 0.013
  6. Marulanda D, Tasayco ML, McDermott A, Cataldi M, Arriaran V, Polenova T. Magic angle spinning solid-state NMR spectroscopy for structural studies of protein interfaces. resonance assignments of differentially enriched Escherichia coli thioredoxin reassembled by fragment complementation. J Am Chem Soc. 2004 Dec 22; 126(50):16608-20.
    View in: PubMed
    Score: 0.012
  7. Louis JM, Georgescu RE, Tasayco ML, Tcherkasskaya O, Gronenborn AM. Probing the structure and stability of a hybrid protein: the human-E. coli thioredoxin chimera. Biochemistry. 2001 Sep 18; 40(37):11184-92.
    View in: PubMed
    Score: 0.010
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.
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