Identification of correct regions in protein models using structural, alignment, and consensus information.
about
Evolution of the B3 DNA binding superfamily: new insights into REM family gene diversificationKinetic characterization and phosphoregulation of the Francisella tularensis 1-deoxy-D-xylulose 5-phosphate reductoisomerase (MEP synthase)High-resolution structure prediction and the crystallographic phase problemQMEAN server for protein model quality estimationThe SWISS-MODEL Repository and associated resourcesInterleukin-1-inducible MCPIP protein has structural and functional properties of RNase and participates in degradation of IL-1beta mRNALocal alignment refinement using structural assessmentDesigning and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experimentFrancisella tularensis 2-C-methyl-D-erythritol 4-phosphate cytidylyltransferase: kinetic characterization and phosphoregulationStructure of Patt1 human proapoptotic histone acetyltransferasePcons.net: protein structure prediction meta server.Modelling and simulation of mutant alleles of breast cancer metastasis suppressor 1 (BRMS1) geneUsing multiple templates to improve quality of homology models in automated homology modeling.MetaMQAP: a meta-server for the quality assessment of protein models.How well can the accuracy of comparative protein structure models be predicted?Large-scale model quality assessment for improving protein tertiary structure prediction.CASP11 refinement experiments with ROSETTA.QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information.Improved estimation of structure predictor quality.Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11.A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11.Predicting local quality of a sequence-structure alignment.Fast assessment of structural models of ion channels based on their predicted current-voltage characteristics.Rapid model quality assessment for protein structure predictions using the comparison of multiple models without structural alignments.Template-based protein modeling: recent methodological advances.Protein single-model quality assessment by feature-based probability density functions.Insight into virus encapsulation mechanism through in silico interaction study between coat protein and RNA operator loops of Sesbania mosaic virus.Sub-AQUA: real-value quality assessment of protein structure models.Sorting protein decoys by machine-learning-to-rankPrediction of Local Quality of Protein Structure Models Considering Spatial Neighbors in Graphical Models.Absolute quality evaluation of protein model structures using statistical potentials with respect to the native and reference states.MQAPRank: improved global protein model quality assessment by learning-to-rank.Error-estimation-guided rebuilding of de novo models increases the success rate of ab initio phasing.QA-RecombineIt: a server for quality assessment and recombination of protein modelsComputational Modeling Deduced Three Dimensional Structure of Cry1Ab16 Toxin from Bacillus thuringiensis AC11.Regulation of calcium/calmodulin-dependent kinase IV by O-GlcNAc modification.Quality assessment of protein model-structures based on structural and functional similarities.Structural and evolutionary bioinformatics of the SPOUT superfamily of methyltransferases.Protein model quality assessment prediction by combining fragment comparisons and a consensus C(alpha) contact potentialMedaka: a promising model animal for comparative population genomics
P2860
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P2860
Identification of correct regions in protein models using structural, alignment, and consensus information.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Identification of correct regi ...... nt, and consensus information.
@en
Identification of correct regi ...... nt, and consensus information.
@nl
type
label
Identification of correct regi ...... nt, and consensus information.
@en
Identification of correct regi ...... nt, and consensus information.
@nl
prefLabel
Identification of correct regi ...... nt, and consensus information.
@en
Identification of correct regi ...... nt, and consensus information.
@nl
P2860
P356
P1433
P1476
Identification of correct regi ...... nt, and consensus information.
@en
P2860
P304
P356
10.1110/PS.051799606
P577
2006-03-07T00:00:00Z