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Journal Abstract Search

112 related items for PubMed ID: 17523191

  • 1. SIMPLE estimate of the free energy change due to aliphatic mutations: superior predictions based on first principles.
    Bueno M, Camacho CJ, Sancho J.
    Proteins; 2007 Sep 01; 68(4):850-62. PubMed ID: 17523191
    [Abstract] [Full Text] [Related]

  • 2. Computing van der Waals energies in the context of the rotamer approximation.
    Grigoryan G, Ochoa A, Keating AE.
    Proteins; 2007 Sep 01; 68(4):863-78. PubMed ID: 17554777
    [Abstract] [Full Text] [Related]

  • 3. Energy functions for protein design: adjustment with protein-protein complex affinities, models for the unfolded state, and negative design of solubility and specificity.
    Pokala N, Handel TM.
    J Mol Biol; 2005 Mar 18; 347(1):203-27. PubMed ID: 15733929
    [Abstract] [Full Text] [Related]

  • 4. Predicting protein stability changes upon mutation using database-derived potentials: solvent accessibility determines the importance of local versus non-local interactions along the sequence.
    Gilis D, Rooman M.
    J Mol Biol; 1997 Sep 19; 272(2):276-90. PubMed ID: 9299354
    [Abstract] [Full Text] [Related]

  • 5. Incorporating receptor flexibility in the molecular design of protein interfaces.
    Li L, Liang S, Pilcher MM, Meroueh SO.
    Protein Eng Des Sel; 2009 Sep 19; 22(9):575-86. PubMed ID: 19643976
    [Abstract] [Full Text] [Related]

  • 6. Computational sidechain placement and protein mutagenesis with implicit solvent models.
    Lopes A, Alexandrov A, Bathelt C, Archontis G, Simonson T.
    Proteins; 2007 Jun 01; 67(4):853-67. PubMed ID: 17348031
    [Abstract] [Full Text] [Related]

  • 7. An all atom energy based computational protocol for predicting binding affinities of protein-ligand complexes.
    Jain T, Jayaram B.
    FEBS Lett; 2005 Dec 05; 579(29):6659-66. PubMed ID: 16307743
    [Abstract] [Full Text] [Related]

  • 8. Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development.
    Parthiban V, Gromiha MM, Abhinandan M, Schomburg D.
    BMC Struct Biol; 2007 Aug 16; 7():54. PubMed ID: 17705837
    [Abstract] [Full Text] [Related]

  • 9. Solvation thermodynamics of biopolymers. I. Separation of the volume and surface interactions with estimates for proteins.
    Ben-Naim A, Ting KL, Jernigan RL.
    Biopolymers; 1989 Jul 16; 28(7):1309-25. PubMed ID: 2775844
    [Abstract] [Full Text] [Related]

  • 10. Assessing computational methods for predicting protein stability upon mutation: good on average but not in the details.
    Potapov V, Cohen M, Schreiber G.
    Protein Eng Des Sel; 2009 Sep 16; 22(9):553-60. PubMed ID: 19561092
    [Abstract] [Full Text] [Related]

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  • 12. Generation and analysis of proline mutants in protein G.
    Choi EJ, Mayo SL.
    Protein Eng Des Sel; 2006 Jun 16; 19(6):285-9. PubMed ID: 16549401
    [Abstract] [Full Text] [Related]

  • 13. Accurate prediction for atomic-level protein design and its application in diversifying the near-optimal sequence space.
    Fromer M, Yanover C.
    Proteins; 2009 May 15; 75(3):682-705. PubMed ID: 19003998
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  • 16. Can contact potentials reliably predict stability of proteins?
    Khatun J, Khare SD, Dokholyan NV.
    J Mol Biol; 2004 Mar 05; 336(5):1223-38. PubMed ID: 15037081
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