Assessment of predictions in the model quality assessment category.
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I-TASSER server for protein 3D structure predictionCritical assessment of methods of protein structure prediction-Round VIIQMEAN server for protein model quality estimationEvaluation of model quality predictions in CASP9Assessment of the assessment: evaluation of the model quality estimates in CASP10The bHLH142 Transcription Factor Coordinates with TDR1 to Modulate the Expression of EAT1 and Regulate Pollen Development in Rice.Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy termsMetaMQAP: a meta-server for the quality assessment of protein models.MQAPsingle: A quasi single-model approach for estimation of the quality of individual protein structure models.Model quality assessment using distance constraints from alignments.Applying undertaker cost functions to model quality assessment.Protein structure prediction and model quality assessmentQMEANclust: estimation of protein model quality by combining a composite scoring function with structural density information.Improved estimation of structure predictor quality.Methods of model accuracy estimation can help selecting the best models from decoy sets: Assessment of model accuracy estimations in CASP11Rapid model quality assessment for protein structure predictions using the comparison of multiple models without structural alignments.Critical assessment of methods of protein structure prediction: Progress and new directions in round XI.Sorting protein decoys by machine-learning-to-rankDetermining protein similarity by comparing hydrophobic core structure.MUFOLD-WQA: A new selective consensus method for quality assessment in protein structure prediction.An iterative self-refining and self-evaluating approach for protein model quality estimation.QA-RecombineIt: a server for quality assessment and recombination of protein modelsBeEP Server: Using evolutionary information for quality assessment of protein structure models.Quality assessment of protein model-structures based on structural and functional similarities.Alternating evolutionary pressure in a genetic algorithm facilitates protein model selection.Structural interpretation of protein-protein interaction network.Improved model quality assessment using ProQ2.Predicting the accuracy of protein-ligand docking on homology models.Benchmarking Deep Networks for Predicting Residue-Specific Quality of Individual Protein Models in CASP11NEW MDS AND CLUSTERING BASED ALGORITHMS FOR PROTEIN MODEL QUALITY ASSESSMENT AND SELECTION.Quality assessment of protein model-structures using evolutionary conservation.Computational predictions of the mutant behavior of AraC.SELECTpro: effective protein model selection using a structure-based energy function resistant to BLUNDERs.Applying Undertaker to quality assessment.Methods for estimation of model accuracy in CASP12.Assessment of model accuracy estimations in CASP12.Critical assessment of methods of protein structure prediction (CASP)-Round XII.A tribute to Anna Tramontano (1957-2017).Model quality assessment for membrane proteins.Using a consensus approach based on the conservation of inter-residue contacts to rank CAPRI models.
P2860
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P2860
Assessment of predictions in the model quality assessment category.
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունվարին 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
Assessment of predictions in the model quality assessment category.
@ast
Assessment of predictions in the model quality assessment category.
@en
type
label
Assessment of predictions in the model quality assessment category.
@ast
Assessment of predictions in the model quality assessment category.
@en
prefLabel
Assessment of predictions in the model quality assessment category.
@ast
Assessment of predictions in the model quality assessment category.
@en
P50
P356
P1433
P1476
Assessment of predictions in the model quality assessment category.
@en
P304
P356
10.1002/PROT.21669
P407
P478
69 Suppl 8
P577
2007-01-01T00:00:00Z