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Journal Abstract Search

98 related items for PubMed ID: 22231226

  • 1. Distance-dependent atomic knowledge-based force in protein fold recognition.
    Mirzaie M, Sadeghi M.
    Proteins; 2012 Mar; 80(3):683-90. PubMed ID: 22231226
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  • 3. Lessons from the design of a novel atomic potential for protein folding.
    Chen WW, Shakhnovich EI.
    Protein Sci; 2005 Jul; 14(7):1741-52. PubMed ID: 15987903
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  • 5. Distance dependent centroid to centroid force fields using high resolution decoys.
    Rajgaria R, McAllister SR, Floudas CA.
    Proteins; 2008 Feb 15; 70(3):950-70. PubMed ID: 17847088
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  • 7. Distinguishing native conformations of proteins from decoys with an effective free energy estimator based on the OPLS all-atom force field and the Surface Generalized Born solvent model.
    Felts AK, Gallicchio E, Wallqvist A, Levy RM.
    Proteins; 2002 Aug 01; 48(2):404-22. PubMed ID: 12112706
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  • 8. Free-energy function for discriminating the native fold of a protein from misfolded decoys.
    Yasuda S, Yoshidome T, Harano Y, Roth R, Oshima H, Oda K, Sugita Y, Ikeguchi M, Kinoshita M.
    Proteins; 2011 Jul 01; 79(7):2161-71. PubMed ID: 21557318
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  • 10. Novel knowledge-based mean force potential at atomic level.
    Melo F, Feytmans E.
    J Mol Biol; 1997 Mar 21; 267(1):207-22. PubMed ID: 9096219
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  • 11. How well can we predict native contacts in proteins based on decoy structures and their energies?
    Zhu J, Zhu Q, Shi Y, Liu H.
    Proteins; 2003 Sep 01; 52(4):598-608. PubMed ID: 12910459
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  • 13. Physical scoring function based on AMBER force field and Poisson-Boltzmann implicit solvent for protein structure prediction.
    Hsieh MJ, Luo R.
    Proteins; 2004 Aug 15; 56(3):475-86. PubMed ID: 15229881
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  • 14. Atomic environment energies in proteins defined from statistics of accessible and contact surface areas.
    Delarue M, Koehl P.
    J Mol Biol; 1995 Jun 09; 249(3):675-90. PubMed ID: 7783220
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  • 16. A coarse-grained protein force field for folding and structure prediction.
    Maupetit J, Tuffery P, Derreumaux P.
    Proteins; 2007 Nov 01; 69(2):394-408. PubMed ID: 17600832
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  • 17. Accurate mean-force pairwise-residue potentials for discrimination of protein folds.
    Reva BA, Finkelstein AV, Sanner MF, Olson AJ.
    Pac Symp Biocomput; 1997 Nov 01; ():373-84. PubMed ID: 9390307
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  • 18. How to derive a protein folding potential? A new approach to an old problem.
    Mirny LA, Shakhnovich EI.
    J Mol Biol; 1996 Dec 20; 264(5):1164-79. PubMed ID: 9000638
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  • 20. Novel nonlinear knowledge-based mean force potentials based on machine learning.
    Dong Q, Zhou S.
    IEEE/ACM Trans Comput Biol Bioinform; 2011 Dec 20; 8(2):476-86. PubMed ID: 20820079
    [Abstract] [Full Text] [Related]

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