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Journal Abstract Search


899 related items for PubMed ID: 18206907

  • 1. Characterization of domain-peptide interaction interface: a case study on the amphiphysin-1 SH3 domain.
    Hou T, Zhang W, Case DA, Wang W.
    J Mol Biol; 2008 Feb 29; 376(4):1201-14. PubMed ID: 18206907
    [Abstract] [Full Text] [Related]

  • 2. Prediction of binding affinities between the human amphiphysin-1 SH3 domain and its peptide ligands using homology modeling, molecular dynamics and molecular field analysis.
    Hou T, McLaughlin W, Lu B, Chen K, Wang W.
    J Proteome Res; 2006 Jan 29; 5(1):32-43. PubMed ID: 16396493
    [Abstract] [Full Text] [Related]

  • 3. Modeling and prediction of binding affinities between the human amphiphysin SH3 domain and its peptide ligands using genetic algorithm-Gaussian processes.
    Zhou P, Tian F, Chen X, Shang Z.
    Biopolymers; 2008 Jan 29; 90(6):792-802. PubMed ID: 18814309
    [Abstract] [Full Text] [Related]

  • 4. Quantification of PDZ domain specificity, prediction of ligand affinity and rational design of super-binding peptides.
    Wiedemann U, Boisguerin P, Leben R, Leitner D, Krause G, Moelling K, Volkmer-Engert R, Oschkinat H.
    J Mol Biol; 2004 Oct 22; 343(3):703-18. PubMed ID: 15465056
    [Abstract] [Full Text] [Related]

  • 5. Factor analysis scales of generalized amino acid information as applied in predicting interactions between the human amphiphysin-1 SH3 domains and their peptide ligands.
    Liang G, Chen G, Niu W, Li Z.
    Chem Biol Drug Des; 2008 Apr 22; 71(4):345-51. PubMed ID: 18318694
    [Abstract] [Full Text] [Related]

  • 6. SH3-SPOT: an algorithm to predict preferred ligands to different members of the SH3 gene family.
    Brannetti B, Via A, Cestra G, Cesareni G, Helmer-Citterich M.
    J Mol Biol; 2000 Apr 28; 298(2):313-28. PubMed ID: 10764600
    [Abstract] [Full Text] [Related]

  • 7. Binding of the proline-rich segment of myelin basic protein to SH3 domains: spectroscopic, microarray, and modeling studies of ligand conformation and effects of posttranslational modifications.
    Polverini E, Rangaraj G, Libich DS, Boggs JM, Harauz G.
    Biochemistry; 2008 Jan 08; 47(1):267-82. PubMed ID: 18067320
    [Abstract] [Full Text] [Related]

  • 8. Toward quantitative characterization of the binding profile between the human amphiphysin-1 SH3 domain and its peptide ligands.
    He P, Wu W, Wang HD, Yang K, Liao KL, Zhang W.
    Amino Acids; 2010 Apr 08; 38(4):1209-18. PubMed ID: 19669081
    [Abstract] [Full Text] [Related]

  • 9. Recognition of non-canonical peptides by the yeast Fus1p SH3 domain: elucidation of a common mechanism for diverse SH3 domain specificities.
    Kim J, Lee CD, Rath A, Davidson AR.
    J Mol Biol; 2008 Mar 28; 377(3):889-901. PubMed ID: 18280496
    [Abstract] [Full Text] [Related]

  • 10. Predicting protein-peptide interactions via a network-based motif sampler.
    Reiss DJ, Schwikowski B.
    Bioinformatics; 2004 Aug 04; 20 Suppl 1():i274-82. PubMed ID: 15262809
    [Abstract] [Full Text] [Related]

  • 11. Computational analysis and prediction of the binding motif and protein interacting partners of the Abl SH3 domain.
    Hou T, Chen K, McLaughlin WA, Lu B, Wang W.
    PLoS Comput Biol; 2006 Jan 04; 2(1):e1. PubMed ID: 16446784
    [Abstract] [Full Text] [Related]

  • 12. Comparative structural and energetic analysis of WW domain-peptide interactions.
    Schleinkofer K, Wiedemann U, Otte L, Wang T, Krause G, Oschkinat H, Wade RC.
    J Mol Biol; 2004 Nov 26; 344(3):865-81. PubMed ID: 15533451
    [Abstract] [Full Text] [Related]

  • 13. Structural insight into the binding diversity between the human Nck2 SH3 domains and proline-rich proteins.
    Liu J, Li M, Ran X, Fan JS, Song J.
    Biochemistry; 2006 Jun 13; 45(23):7171-84. PubMed ID: 16752908
    [Abstract] [Full Text] [Related]

  • 14. Recognition of lysine-rich peptide ligands by murine cortactin SH3 domain: CD, ITC, and NMR studies.
    Rubini C, Ruzza P, Spaller MR, Siligardi G, Hussain R, Udugamasooriya DG, Bellanda M, Mammi S, Borgogno A, Calderan A, Cesaro L, Brunati AM, Donella-Deana A.
    Biopolymers; 2010 Jun 13; 94(3):298-306. PubMed ID: 19921743
    [Abstract] [Full Text] [Related]

  • 15. Domain Interaction Footprint: a multi-classification approach to predict domain-peptide interactions.
    Schillinger C, Boisguerin P, Krause G.
    Bioinformatics; 2009 Jul 01; 25(13):1632-9. PubMed ID: 19376827
    [Abstract] [Full Text] [Related]

  • 16. Crystal structure of the abl-SH3 domain complexed with a designed high-affinity peptide ligand: implications for SH3-ligand interactions.
    Pisabarro MT, Serrano L, Wilmanns M.
    J Mol Biol; 1998 Aug 21; 281(3):513-21. PubMed ID: 9698566
    [Abstract] [Full Text] [Related]

  • 17. Crystal structure of the SH3 domain of betaPIX in complex with a high affinity peptide from PAK2.
    Hoelz A, Janz JM, Lawrie SD, Corwin B, Lee A, Sakmar TP.
    J Mol Biol; 2006 Apr 28; 358(2):509-22. PubMed ID: 16527308
    [Abstract] [Full Text] [Related]

  • 18. Systematic identification of SH3 domain-mediated human protein-protein interactions by peptide array target screening.
    Wu C, Ma MH, Brown KR, Geisler M, Li L, Tzeng E, Jia CY, Jurisica I, Li SS.
    Proteomics; 2007 Jun 28; 7(11):1775-85. PubMed ID: 17474147
    [Abstract] [Full Text] [Related]

  • 19. Comparison of binding energies of SrcSH2-phosphotyrosyl peptides with structure-based prediction using surface area based empirical parameterization.
    Henriques DA, Ladbury JE, Jackson RM.
    Protein Sci; 2000 Oct 28; 9(10):1975-85. PubMed ID: 11106171
    [Abstract] [Full Text] [Related]

  • 20. The identification of conserved interactions within the SH3 domain by alignment of sequences and structures.
    Larson SM, Davidson AR.
    Protein Sci; 2000 Nov 28; 9(11):2170-80. PubMed ID: 11152127
    [Abstract] [Full Text] [Related]


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