Generalized dead-end elimination algorithms make large-scale protein side-chain structure prediction tractable: implications for protein design and structural genomics.
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The crystal structure of human protein farnesyltransferase reveals the basis for inhibition by CaaX tetrapeptides and their mimeticsA graph-theory algorithm for rapid protein side-chain predictionFast and accurate side-chain topology and energy refinement (FASTER) as a new method for protein structure optimization.Computational design of receptor and sensor proteins with novel functions.Protein side-chain modeling with a protein-dependent optimized rotamer library.Rotamer optimization for protein design through MAP estimation and problem-size reduction.An improved hybrid global optimization method for protein tertiary structure prediction.Designing artificial enzymes by intuition and computationProtein side-chain resonance assignment and NOE assignment using RDC-defined backbones without TOCSY dataA Bayesian approach for determining protein side-chain rotamer conformations using unassigned NOE data.Selection of stably folded proteins by phage-display with proteolysis.A stochastic algorithm for global optimization and for best populations: a test case of side chains in proteins.Side-chain modeling with an optimized scoring function.Transmutation of human glutathione transferase A2-2 with peroxidase activity into an efficient steroid isomerase.Improved side-chain prediction accuracy using an ab initio potential energy function and a very large rotamer libraryCombinatorial approaches to protein stability and structure.IPRO: an iterative computational protein library redesign and optimization procedureThe minimized dead-end elimination criterion and its application to protein redesign in a hybrid scoring and search algorithm for computing partition functions over molecular ensembles.A search for energy minimized sequences of proteinsDe novo backbone scaffolds for protein design.Computational methods for de novo protein design and its applications to the human immunodeficiency virus 1, purine nucleoside phosphorylase, ubiquitin specific protease 7, and histone demethylases.Protein design is NP-hard.Computational design of receptors for an organophosphate surrogate of the nerve agent soman.Adapting Poisson-Boltzmann to the self-consistent mean field theory: application to protein side-chain modeling.Structural genomics: computational methods for structure analysis.Backbone solution structures of proteins using residual dipolar couplings: application to a novel structural genomics target.Flat-Bottom Strategy for Improved Accuracy in Protein Side-Chain Placements.Protein side chain conformation predictions with an MMGBSA energy function.Computational design of a Zn2+ receptor that controls bacterial gene expression.Computer-aided antibody design.Toward full-sequence de novo protein design with flexible templates for human beta-defensin-2.Affinity enhancement of an in vivo matured therapeutic antibody using structure-based computational designConfigurational-bias sampling technique for predicting side-chain conformations in proteinsGEM: a Gaussian Evolutionary Method for predicting protein side-chain conformationsOPUS-Rota: a fast and accurate method for side-chain modeling.NMR resonance assignments of sparsely labeled proteins: amide proton exchange correlations in native and denatured states.Algorithm for backrub motions in protein design.Challenges in the computational design of proteinsExpanded explorations into the optimization of an energy function for protein design.Computational design approaches and tools for synthetic biology.
P2860
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P2860
Generalized dead-end elimination algorithms make large-scale protein side-chain structure prediction tractable: implications for protein design and structural genomics.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh-hant
name
Generalized dead-end eliminati ...... esign and structural genomics.
@en
Generalized dead-end eliminati ...... esign and structural genomics.
@nl
type
label
Generalized dead-end eliminati ...... esign and structural genomics.
@en
Generalized dead-end eliminati ...... esign and structural genomics.
@nl
prefLabel
Generalized dead-end eliminati ...... esign and structural genomics.
@en
Generalized dead-end eliminati ...... esign and structural genomics.
@nl
P921
P356
P1476
Generalized dead-end eliminati ...... esign and structural genomics.
@en
P2093
Hellinga HW
P304
P356
10.1006/JMBI.2000.4424
P407
P577
2001-03-01T00:00:00Z