Critical assessment of methods of protein structure prediction-Round VII
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Progress and challenges in protein structure predictionHow significant is a protein structure similarity with TM-score = 0.5?Low-homology protein threadingI-TASSER: a unified platform for automated protein structure and function predictionQMEAN server for protein model quality estimationFIEFDom: a transparent domain boundary recognition system using a fuzzy mean operatorRecent Progress in Machine Learning-Based Methods for Protein Fold RecognitionAb initio protein structure assembly using continuous structure fragments and optimized knowledge-based force fieldConsistent refinement of submitted models at CASP using a knowledge-based potentialA Probabilistic Graphical Model for Ab Initio FoldingA probabilistic and continuous model of protein conformational space for template-free modelingFragment-free approach to protein folding using conditional neural fieldsCritical assessment of methods of protein structure prediction (CASP)--round IXCritical assessment of methods of protein structure prediction (CASP)--round xDelaunay-based nonlocal interactions are sufficient and accurate in protein fold recognition.Improvement of the treatment of loop structures in the UNRES force field by inclusion of coupling between backbone- and side-chain-local conformational states.Improving protein fold recognition by random forest.Protein folding and misfolding: mechanism and principles.Using multiple templates to improve quality of homology models in automated homology modeling.Benchmarking of TASSER_2.0: an improved protein structure prediction algorithm with more accurate predicted contact restraintsUsing inferred residue contacts to distinguish between correct and incorrect protein modelsSP5: improving protein fold recognition by using torsion angle profiles and profile-based gap penalty modelInformation theory provides a comprehensive framework for the evaluation of protein structure predictions.Protein structure prediction and model quality assessmentArtefacts and biases affecting the evaluation of scoring functions on decoy sets for protein structure prediction.Protein structure prediction: when is it useful?Improving consensus contact prediction via server correlation reductionNNcon: improved protein contact map prediction using 2D-recursive neural networksA novel method for predicting and using distance constraints of high accuracy for refining protein structure prediction.QMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information.Analyses on hydrophobicity and attractiveness of all-atom distance-dependent potentials.A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation.DescFold: a web server for protein fold recognition.FragBag, an accurate representation of protein structure, retrieves structural neighbors from the entire PDB quickly and accurately.Directionality in protein fold prediction.Critical assessment of methods of protein structure prediction: Progress and new directions in round XI.Fine grained sampling of residue characteristics using molecular dynamics simulation.The utility of geometrical and chemical restraint information extracted from predicted ligand-binding sites in protein structure refinementReliable protein structure refinement using a physical energy function.Toward the estimation of the absolute quality of individual protein structure models
P2860
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P2860
Critical assessment of methods of protein structure prediction-Round VII
description
2007 nî lūn-bûn
@nan
2007 թուականին հրատարակուած գիտական յօդուած
@hyw
2007 թվականին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Critical assessment of methods of protein structure prediction-Round VII
@ast
Critical assessment of methods of protein structure prediction-Round VII
@en
Critical assessment of methods of protein structure prediction-Round VII
@nl
type
label
Critical assessment of methods of protein structure prediction-Round VII
@ast
Critical assessment of methods of protein structure prediction-Round VII
@en
Critical assessment of methods of protein structure prediction-Round VII
@nl
prefLabel
Critical assessment of methods of protein structure prediction-Round VII
@ast
Critical assessment of methods of protein structure prediction-Round VII
@en
Critical assessment of methods of protein structure prediction-Round VII
@nl
P2860
P50
P356
P1433
P1476
Critical assessment of methods of protein structure prediction-Round VII
@en
P2860
P356
10.1002/PROT.21767
P407
P478
69 Suppl 8
P577
2007-01-01T00:00:00Z