proteins STRUCTURE O FUNCTION O BIOINFORMATICS Improved prediction of protein side-chain conformations with SCWRL4
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[1] J. Kirkwood. Statistical Mechanics of Fluid Mixtures , 1935 .
[2] M. Karplus,et al. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations , 1983 .
[3] Derek G. Corneil,et al. Complexity of finding embeddings in a k -tree , 1987 .
[4] William L. Briggs,et al. A multigrid tutorial , 1987 .
[5] C. D. Kemp,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[6] Hydroxyl hydrogen conformations in trypsin determined by the neutron diffraction solvent difference map method: relative importance of steric and electrostatic factors in defining hydrogen-bonding geometries. , 1990, Proceedings of the National Academy of Sciences of the United States of America.
[7] Johan Desmet,et al. The dead-end elimination theorem and its use in protein side-chain positioning , 1992, Nature.
[8] C. Sander,et al. Evaluation of protein models by atomic solvation preference. , 1992, Journal of molecular biology.
[9] Simon J. Hubbard,et al. Department of Biochemistry and Molecular Biology , 2006 .
[10] Roland L. Dunbrack,et al. Backbone-dependent rotamer library for proteins. Application to side-chain prediction. , 1993, Journal of molecular biology.
[11] P. Koehl,et al. Application of a self-consistent mean field theory to predict protein side-chains conformation and estimate their conformational entropy. , 1994, Journal of molecular biology.
[12] Roland L. Dunbrack,et al. Conformational analysis of the backbone-dependent rotamer preferences of protein sidechains , 1994, Nature Structural Biology.
[13] R. Goldstein. Efficient rotamer elimination applied to protein side-chains and related spin glasses. , 1994, Biophysical journal.
[14] A. Leach,et al. Ligand docking to proteins with discrete side-chain flexibility. , 1994, Journal of molecular biology.
[15] David T. Jones,et al. De novo protein design using pairwise potentials and a genetic algorithm , 1994, Protein science : a publication of the Protein Society.
[16] S. L. Mayo,et al. Protein design automation , 1996, Protein science : a publication of the Protein Society.
[17] P A Kollman,et al. Modeling protein stability: a theoretical analysis of the stability of T4 lysozyme mutants. , 1997, Protein engineering.
[18] Roland L. Dunbrack,et al. Prediction of protein side-chain rotamers from a backbone-dependent rotamer library: a new homology modeling tool. , 1997, Journal of molecular biology.
[19] I Lasters,et al. All in one: a highly detailed rotamer library improves both accuracy and speed in the modelling of sidechains by dead-end elimination. , 1997, Folding & design.
[20] Roland L. Dunbrack,et al. Bayesian statistical analysis of protein side‐chain rotamer preferences , 1997, Protein science : a publication of the Protein Society.
[21] Gary L. Miller,et al. Separators for sphere-packings and nearest neighbor graphs , 1997, JACM.
[22] M. Sternberg,et al. Rapid refinement of protein interfaces incorporating solvation: application to the docking problem. , 1998, Journal of molecular biology.
[23] Joseph S. B. Mitchell,et al. Efficient Collision Detection Using Bounding Volume Hierarchies of k-DOPs , 1998, IEEE Trans. Vis. Comput. Graph..
[24] J. Mendes,et al. Improved modeling of side‐chains in proteins with rotamer‐based methods: A flexible rotamer model , 1999, Proteins.
[25] William L. Briggs,et al. A multigrid tutorial, Second Edition , 2000 .
[26] J. Richardson,et al. The penultimate rotamer library , 2000, Proteins.
[27] António M. Baptista,et al. Implicit solvation in the self-consistent mean field theory method: sidechain modelling and prediction of folding free energies of protein mutants , 2001, J. Comput. Aided Mol. Des..
[28] Z. Xiang,et al. Extending the accuracy limits of prediction for side-chain conformations. , 2001, Journal of molecular biology.
[29] Roland L. Dunbrack. Rotamer libraries in the 21st century. , 2002, Current opinion in structural biology.
[30] George A. Kaminski,et al. Force Field Validation Using Protein Side Chain Prediction , 2002 .
[31] Z. Xiang,et al. On the role of the crystal environment in determining protein side-chain conformations. , 2002, Journal of molecular biology.
[32] N. Grishin,et al. Side‐chain modeling with an optimized scoring function , 2002, Protein science : a publication of the Protein Society.
[33] Guoli Wang,et al. PISCES: a protein sequence culling server , 2003, Bioinform..
[34] D. Baker,et al. An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes. , 2003, Journal of molecular biology.
[35] Tom L Blundell,et al. Advantages of fine-grained side chain conformer libraries. , 2003, Protein engineering.
[36] Hao Chen,et al. Beyond the rotamer library: Genetic algorithm combined with the disturbing mutation process for upbuilding protein side‐chains , 2003, Proteins.
[37] D. Baker,et al. Design of a Novel Globular Protein Fold with Atomic-Level Accuracy , 2003, Science.
[38] Adrian A Canutescu,et al. Access the most recent version at doi: 10.1110/ps.03154503 References , 2003 .
[39] Jeffrey J. Gray,et al. Protein-protein docking with simultaneous optimization of rigid-body displacement and side-chain conformations. , 2003, Journal of molecular biology.
[40] A Joshua Wand,et al. Improved side‐chain prediction accuracy using an ab initio potential energy function and a very large rotamer library , 2004, Protein science : a publication of the Protein Society.
[41] T. A. Jones,et al. The Uppsala Electron-Density Server. , 2004, Acta crystallographica. Section D, Biological crystallography.
[42] D. Baker,et al. Modeling structurally variable regions in homologous proteins with rosetta , 2004, Proteins.
[43] David Baker,et al. Protein Structure Prediction Using Rosetta , 2004, Numerical Computer Methods, Part D.
[44] Jinbo Xu,et al. Rapid Protein Side-Chain Packing via Tree Decomposition , 2005, RECOMB.
[45] Roland L. Dunbrack,et al. MollDE: a homology modeling framework you can click with , 2005, Bioinform..
[46] Roland L Dunbrack,et al. Assessment of fold recognition predictions in CASP6 , 2005, Proteins.
[47] Mona Singh,et al. Solving and analyzing side-chain positioning problems using linear and integer programming , 2005, Bioinform..
[48] Guoli Wang,et al. PISCES: recent improvements to a PDB sequence culling server , 2005, Nucleic Acids Res..
[49] J. Maurice Rojas,et al. Practical conversion from torsion space to Cartesian space for in silico protein synthesis , 2005, J. Comput. Chem..
[50] C. Camacho,et al. Modeling side‐chains using molecular dynamics improve recognition of binding region in CAPRI targets , 2005, Proteins.
[51] Leszek Rychlewski,et al. FFAS03: a server for profile–profile sequence alignments , 2005, Nucleic Acids Res..
[52] Jack Snoeyink,et al. Rotamer-Pair Energy Calculations Using a Trie Data Structure , 2005, WABI.
[53] Jens Meiler,et al. ROSETTALIGAND: Protein–small molecule docking with full side‐chain flexibility , 2006, Proteins.
[54] Roland L. Dunbrack,et al. Statistical and conformational analysis of the electron density of protein side chains , 2006, Proteins.
[55] Zoran Obradovic,et al. Statistical analysis of interface similarity in crystals of homologous proteins. , 2008, Journal of molecular biology.
[56] Adrian A Canutescu,et al. SCWRL and MolIDE: computer programs for side-chain conformation prediction and homology modeling , 2008, Nature Protocols.
[57] Jianpeng Ma,et al. OPUS‐Rota: A fast and accurate method for side‐chain modeling , 2008, Protein science : a publication of the Protein Society.
[58] G. Sheldrick. A short history of SHELX. , 2008, Acta crystallographica. Section A, Foundations of crystallography.