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Connection

Daniel Caffrey to Models, Molecular

This is a "connection" page, showing publications Daniel Caffrey has written about Models, Molecular.
Connection Strength

0.338
  1. Aiello D, Caffrey DR. Evolution of specific protein-protein interaction sites following gene duplication. J Mol Biol. 2012 Oct 19; 423(2):257-72.
    View in: PubMed
    Score: 0.076
  2. Caffrey DR, Lunney EA, Moshinsky DJ. Prediction of specificity-determining residues for small-molecule kinase inhibitors. BMC Bioinformatics. 2008 Nov 25; 9:491.
    View in: PubMed
    Score: 0.059
  3. Caffrey DR, Dana PH, Mathur V, Ocano M, Hong EJ, Wang YE, Somaroo S, Caffrey BE, Potluri S, Huang ES. PFAAT version 2.0: a tool for editing, annotating, and analyzing multiple sequence alignments. BMC Bioinformatics. 2007 Oct 11; 8:381.
    View in: PubMed
    Score: 0.055
  4. Cheng AC, Coleman RG, Smyth KT, Cao Q, Soulard P, Caffrey DR, Salzberg AC, Huang ES. Structure-based maximal affinity model predicts small-molecule druggability. Nat Biotechnol. 2007 Jan; 25(1):71-5.
    View in: PubMed
    Score: 0.052
  5. Caffrey DR, Somaroo S, Hughes JD, Mintseris J, Huang ES. Are protein-protein interfaces more conserved in sequence than the rest of the protein surface? Protein Sci. 2004 Jan; 13(1):190-202.
    View in: PubMed
    Score: 0.042
  6. Canale AS, Venev SV, Whitfield TW, Caffrey DR, Marasco WA, Schiffer CA, Kowalik TF, Jensen JD, Finberg RW, Zeldovich KB, Wang JP, Bolon DNA. Synonymous Mutations at the Beginning of the Influenza A Virus Hemagglutinin Gene Impact Experimental Fitness. J Mol Biol. 2018 04 13; 430(8):1098-1115.
    View in: PubMed
    Score: 0.028
  7. Jiang L, Liu P, Bank C, Renzette N, Prachanronarong K, Yilmaz LS, Caffrey DR, Zeldovich KB, Schiffer CA, Kowalik TF, Jensen JD, Finberg RW, Wang JP, Bolon DNA. A Balance between Inhibitor Binding and Substrate Processing Confers Influenza Drug Resistance. J Mol Biol. 2016 Feb 13; 428(3):538-553.
    View in: PubMed
    Score: 0.024
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.