234 related articles for article (PubMed ID: 16699192)
1. MUMBO: a protein-design approach to crystallographic model building and refinement.
Stiebritz MT; Muller YA
Acta Crystallogr D Biol Crystallogr; 2006 Jun; 62(Pt 6):648-58. PubMed ID: 16699192
[TBL] [Abstract][Full Text] [Related]
2. Improved Pruning algorithms and Divide-and-Conquer strategies for Dead-End Elimination, with application to protein design.
Georgiev I; Lilien RH; Donald BR
Bioinformatics; 2006 Jul; 22(14):e174-83. PubMed ID: 16873469
[TBL] [Abstract][Full Text] [Related]
3. Improving amino-acid identification, fit and C(alpha) prediction using the Simplex method in automated model building.
Romo TD; Sacchettini JC; Ioerger TR
Acta Crystallogr D Biol Crystallogr; 2006 Nov; 62(Pt 11):1401-6. PubMed ID: 17057345
[TBL] [Abstract][Full Text] [Related]
4. Preprocessing of rotamers for protein design calculations.
Shah PS; Hom GK; Mayo SL
J Comput Chem; 2004 Nov; 25(14):1797-800. PubMed ID: 15362137
[TBL] [Abstract][Full Text] [Related]
5. LAFIRE: software for automating the refinement process of protein-structure analysis.
Yao M; Zhou Y; Tanaka I
Acta Crystallogr D Biol Crystallogr; 2006 Feb; 62(Pt 2):189-96. PubMed ID: 16421450
[TBL] [Abstract][Full Text] [Related]
6. A method to configure protein side-chains from the main-chain trace in homology modelling.
Eisenmenger F; Argos P; Abagyan R
J Mol Biol; 1993 Jun; 231(3):849-60. PubMed ID: 8515455
[TBL] [Abstract][Full Text] [Related]
7. Fast and accurate side-chain topology and energy refinement (FASTER) as a new method for protein structure optimization.
Desmet J; Spriet J; Lasters I
Proteins; 2002 Jul; 48(1):31-43. PubMed ID: 12012335
[TBL] [Abstract][Full Text] [Related]
8. Determinants of protein side-chain packing.
Tanimura R; Kidera A; Nakamura H
Protein Sci; 1994 Dec; 3(12):2358-65. PubMed ID: 7756990
[TBL] [Abstract][Full Text] [Related]
9. Statistical and conformational analysis of the electron density of protein side chains.
Shapovalov MV; Dunbrack RL
Proteins; 2007 Feb; 66(2):279-303. PubMed ID: 17080462
[TBL] [Abstract][Full Text] [Related]
10. Real-space protein-model completion: an inverse-kinematics approach.
van den Bedem H; Lotan I; Latombe JC; Deacon AM
Acta Crystallogr D Biol Crystallogr; 2005 Jan; 61(Pt 1):2-13. PubMed ID: 15608370
[TBL] [Abstract][Full Text] [Related]
11. Dead-end elimination with backbone flexibility.
Georgiev I; Donald BR
Bioinformatics; 2007 Jul; 23(13):i185-94. PubMed ID: 17646295
[TBL] [Abstract][Full Text] [Related]
12. Protein design for diversity of sequences and conformations using dead-end elimination.
Hanf KJ
Methods Mol Biol; 2012; 899():127-44. PubMed ID: 22735950
[TBL] [Abstract][Full Text] [Related]
13. Accurate automatic protein models.
Pavelcik F
Acta Crystallogr D Biol Crystallogr; 2004 Sep; 60(Pt 9):1535-44. PubMed ID: 15333923
[TBL] [Abstract][Full Text] [Related]
14. AClAP, Autonomous hierarchical agglomerative Cluster Analysis based protocol to partition conformational datasets.
Bottegoni G; Rocchia W; Recanatini M; Cavalli A
Bioinformatics; 2006 Jul; 22(14):e58-65. PubMed ID: 16873522
[TBL] [Abstract][Full Text] [Related]
15. Fast and simple Monte Carlo algorithm for side chain optimization in proteins: application to model building by homology.
Holm L; Sander C
Proteins; 1992 Oct; 14(2):213-23. PubMed ID: 1409569
[TBL] [Abstract][Full Text] [Related]
16. Beyond the rotamer library: genetic algorithm combined with the disturbing mutation process for upbuilding protein side-chains.
Liu Z; Jiang L; Gao Y; Liang S; Chen H; Han Y; Lai L
Proteins; 2003 Jan; 50(1):49-62. PubMed ID: 12471599
[TBL] [Abstract][Full Text] [Related]
17. Dead-end elimination for multistate protein design.
Yanover C; Fromer M; Shifman JM
J Comput Chem; 2007 Oct; 28(13):2122-9. PubMed ID: 17471460
[TBL] [Abstract][Full Text] [Related]
18. ROSETTALIGAND: protein-small molecule docking with full side-chain flexibility.
Meiler J; Baker D
Proteins; 2006 Nov; 65(3):538-48. PubMed ID: 16972285
[TBL] [Abstract][Full Text] [Related]
19. Trading accuracy for speed: A quantitative comparison of search algorithms in protein sequence design.
Voigt CA; Gordon DB; Mayo SL
J Mol Biol; 2000 Jun; 299(3):789-803. PubMed ID: 10835284
[TBL] [Abstract][Full Text] [Related]
20. Extending the limits of molecular replacement through combined simulated annealing and maximum-likelihood refinement.
Adams PD; Pannu NS; Read RJ; Brunger AT
Acta Crystallogr D Biol Crystallogr; 1999 Jan; 55(Pt 1):181-90. PubMed ID: 10089409
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]