Single-body residue-level knowledge-based energy score combined with sequence-profile and secondary structure information for fold recognition.
about
Low-homology protein threadingI-TASSER: a unified platform for automated protein structure and function predictionImproving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templatesRaptorX: exploiting structure information for protein alignment by statistical inferenceMUSTER: Improving protein sequence profile-profile alignments by using multiple sources of structure informationPredicting continuous local structure and the effect of its substitution for secondary structure in fragment-free protein structure predictionLOMETS: a local meta-threading-server for protein structure predictionIdentification of a new family of putative PD-(D/E)XK nucleases with unusual phylogenomic distribution and a new type of the active siteA homology model of restriction endonuclease SfiI in complex with DNAPractical lessons from protein structure prediction.Early-stage folding in proteins (in silico) sequence-to-structure relation.Web-based toolkits for topology prediction of transmembrane helical proteins, fold recognition, structure and binding scoring, folding-kinetics analysis and comparative analysis of domain combinationsThe PD-(D/E)XK superfamily revisited: identification of new members among proteins involved in DNA metabolism and functional predictions for domains of (hitherto) unknown function.Molecular phylogenetics and comparative modeling of HEN1, a methyltransferase involved in plant microRNA biogenesisAutomated protein structure modeling in CASP9 by I-TASSER pipeline combined with QUARK-based ab initio folding and FG-MD-based structure refinementMolecular modeling and characterization of the B. thuringiensis and B. thuringiensis LDC-9 cytolytic proteins.A machine learning information retrieval approach to protein fold recognition.A comparative assessment and analysis of 20 representative sequence alignment methods for protein structure prediction.SVR_CAF: an integrated score function for detecting native protein structures among decoys.Novel knowledge-based mean force potential at the profile levelImprovement in low-homology template-based modeling by employing a model evaluation method with focus on topology.Detecting local residue environment similarity for recognizing near-native structure models.Protein structure prediction provides comparable performance to crystallographic structures in docking-based virtual screening.Improving protein fold recognition by random forest.SP5: improving protein fold recognition by using torsion angle profiles and profile-based gap penalty modelResidue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys.Protein structure prediction by pro-Sp3-TASSER.Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools.Performance of the Pro-sp3-TASSER server in CASP8Predicting local quality of a sequence-structure alignment.(PS)2-v2: template-based protein structure prediction server.DescFold: a web server for protein fold recognition.TASSER_low-zsc: an approach to improve structure prediction using low z-score-ranked templates.Sorting protein decoys by machine-learning-to-rankThe utility of geometrical and chemical restraint information extracted from predicted ligand-binding sites in protein structure refinementEffect of using suboptimal alignments in template-based protein structure prediction.Incorporation of local structural preference potential improves fold recognition.Trends in template/fragment-free protein structure predictionMQAPRank: improved global protein model quality assessment by learning-to-rank.CONTSOR--a new knowledge-based fold recognition potential, based on side chain orientation and contacts between residue terminal groups.
P2860
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P2860
Single-body residue-level knowledge-based energy score combined with sequence-profile and secondary structure information for fold recognition.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh
2004年學術文章
@zh-hant
name
Single-body residue-level know ...... ormation for fold recognition.
@en
Single-body residue-level know ...... ormation for fold recognition.
@nl
type
label
Single-body residue-level know ...... ormation for fold recognition.
@en
Single-body residue-level know ...... ormation for fold recognition.
@nl
prefLabel
Single-body residue-level know ...... ormation for fold recognition.
@en
Single-body residue-level know ...... ormation for fold recognition.
@nl
P2860
P356
P1433
P1476
Single-body residue-level know ...... ormation for fold recognition.
@en
P2093
Hongyi Zhou
P2860
P304
P356
10.1002/PROT.20007
P407
P50
P577
2004-06-01T00:00:00Z