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Dead-end elimination
Results: 12

#	Item
1	Protein side chain rotational isomerization: A minimum perturbation mapping study Christopher Haydock Department of Biochemistry and Molecular Biology, Mayo Foundation, Rochester, MinnesotaA theory of the rotation Add to Reading List Source URL: www.christopherhaydock.com Language: English - Date: 2005-03-15 19:54:34 Computational chemistry Differential geometry Molecular modelling Connection Curvature Torsion tensor Analytic torsion Umbrella sampling Perturbation theory Torsion Dead-end elimination Energy
2	Protein Engineering vol.15 no.10 pp.779–782, 2002 Protein Design is NP-hard Niles A.Pierce1,2 and Erik Winfree3 1Applied Add to Reading List Source URL: www.piercelab.caltech.edu Language: English - Date: 2010-09-08 02:56:32 Complexity classes Mathematical optimization NP-complete problems Structural complexity theory NP-hard NP-complete Dead-end elimination NP P Theoretical computer science Computational complexity theory Applied mathematics
3	Conformational Splitting: A More Powerful Criterion for Dead-End Elimination N. A. PIERCE,1,∗ J. A. SPRIET,2 J. DESMET,2,† S. L. MAYO3 1 Division of Biology, California Institute of Technology, Pasadena, California Add to Reading List Source URL: www.piercelab.caltech.edu Language: English - Date: 2010-09-08 02:56:25 Dead-end elimination Mathematical optimization Bioinformatics Stereochemistry Conformational isomerism Protein design STING Homology modeling Computational chemistry Chemistry Protein methods Protein structure
4	Exact Rotamer Optimization for Protein Design D. BENJAMIN GORDON,1 GEOFFREY K. HOM,2 STEPHEN L. MAYO,3 NILES A. PIERCE4 1 Whitehead Institute for Biomedical Research, Cambridge, MassachusettsBiochemistry Option, C Add to Reading List Source URL: www.piercelab.caltech.edu Language: English - Date: 2010-09-08 02:56:26 Dead-end elimination Mathematical optimization Bioinformatics Stereochemistry Conformational isomerism Protein design Resolution STING Homology modeling Chemistry Protein methods Protein structure
5	BIOINFORMATICS ORIGINAL PAPER Vol. 21 no[removed], pages 1028–1036 doi:[removed]bioinformatics/bti144 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2005-05-01 18:10:30 Bioinformatics Biology Science Protein structure prediction Dead-end elimination Homology modeling Conformational isomerism Protein design Protein folding Chemistry Protein structure Protein methods
6	Exact Rotamer Optimization for Protein Design D. BENJAMIN GORDON,1 GEOFFREY K. HOM,2 STEPHEN L. MAYO,3 NILES A. PIERCE4 1 Whitehead Institute for Biomedical Research, Cambridge, Massachusetts[removed]Biochemistry Option, C Add to Reading List Source URL: piercelab.caltech.edu Language: English - Date: 2010-09-08 02:56:26 Dead-end elimination Mathematical optimization Bioinformatics Stereochemistry Conformational isomerism Protein design Resolution STING Homology modeling Chemistry Protein methods Protein structure
7	Conformational Splitting: A More Powerful Criterion for Dead-End Elimination N. A. PIERCE,1,∗ J. A. SPRIET,2 J. DESMET,2,† S. L. MAYO3 1 Division of Biology, California Institute of Technology, Pasadena, California Add to Reading List Source URL: piercelab.caltech.edu Language: English - Date: 2010-09-08 02:56:25 Dead-end elimination Mathematical optimization Bioinformatics Stereochemistry Conformational isomerism Protein design STING Homology modeling Computational chemistry Chemistry Protein methods Protein structure
8	LNBI[removed]Minimizing and Learning Energy Functions for Side-Chain Prediction Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2008-05-01 09:48:13 Bioinformatics Protein structure prediction Dead-end elimination Conformational isomerism Protein folding Energy Simulated annealing Rosetta@home Chemistry Protein structure Protein methods
9	Protein Engineering vol.15 no.10 pp.779–782, 2002 Protein Design is NP-hard Niles A.Pierce1,2 and Erik Winfree3 1Applied Add to Reading List Source URL: piercelab.caltech.edu Language: English - Date: 2010-09-08 02:56:32 Complexity classes Mathematical optimization NP-complete problems Structural complexity theory NP-hard NP-complete Dead-end elimination NP P Theoretical computer science Computational complexity theory Applied mathematics
10	Protein Side-chain Placement through MAP Estimation and Problem-Size Reduction Eun-Jong Hong and Tom´ as Lozano-P´erez Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA 02139, USA Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-06-11 20:15:10 Dead-end elimination Conformational isomerism Dynamic programming Protein structure prediction Self-consistent mean field Chemistry Protein methods Mathematical optimization

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