Recognizing protein-ligand binding sites by global structural alignment and local geometry refinement.
about
Protein-ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignmentCOFACTOR: an accurate comparative algorithm for structure-based protein function annotationStructure-based Methods for Computational Protein Functional Site PredictionInnovations in proteomic profiling of cancers: alternative splice variants as a new class of cancer biomarker candidates and bridging of proteomics with structural biologyImproving protein-ligand binding site prediction accuracy by classification of inner pocket points using local featuresPredicting Ligand Binding Sites on Protein Surfaces by 3-Dimensional Probability Density Distributions of Interacting AtomsProtein ligand-specific binding residue predictions by an ensemble classifierStructure prediction of partial-length protein sequences.Protein depth calculation and the use for improving accuracy of protein fold recognitionI-TASSER server: new development for protein structure and function predictionsStructural Bioinformatics Inspection of neXtProt PE5 Proteins in the Human Proteome.Protein Structure and Function Prediction Using I-TASSERRestricted N-glycan conformational space in the PDB and its implication in glycan structure modeling.The hepatitis E virus polyproline region is involved in viral adaptationFINDSITE(comb): a threading/structure-based, proteomic-scale virtual ligand screening approachCrystal structure of an arginase-like protein from Trypanosoma brucei that evolved without a binuclear manganese cluster.An evolution-based approach to De Novo protein design and case study on Mycobacterium tuberculosis.Finding off-targets, biological pathways, and target diseases for chymase inhibitors via structure-based systems biology approach.Predicting flavin and nicotinamide adenine dinucleotide-binding sites in proteins using the fragment transformation method.Recognizing metal and acid radical ion-binding sites by integrating ab initio modeling with template-based transferals.Genetic diversity and selection of three nuclear genes in Schistosoma japonicum populationsCOFACTOR: improved protein function prediction by combining structure, sequence and protein-protein interaction information.BioLiP: a semi-manually curated database for biologically relevant ligand-protein interactionsAre predicted protein structures of any value for binding site prediction and virtual ligand screening?Functional site plasticity in domain superfamilies.Histatin 5 binds to Porphyromonas gingivalis hemagglutinin B (HagB) and alters HagB-induced chemokine responses.Systems-level understanding of ethanol-induced stresses and adaptation in E. coli.Molecular characterization of tomato α1,3/4-fucosidase, a member of glycosyl hydrolase family 29 involved in the degradation of plant complex type N-glycans.Combating Ebola with Repurposed Therapeutics Using the CANDO Platform.Annotation of Alternatively Spliced Proteins and Transcripts with Protein-Folding Algorithms and Isoform-Level Functional Networks.3D-QSAR and Molecular Docking Studies on the TcPMCA1-Mediated Detoxification of Scopoletin and Coumarin DerivativesToward High-Throughput Predictive Modeling of Protein Binding/Unbinding Kinetics.Ligand binding site detection by local structure alignment and its performance complementarity.TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM.DNABind: a hybrid algorithm for structure-based prediction of DNA-binding residues by combining machine learning- and template-based approaches.TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery.Insights into unbound-bound states of GPR142 receptor in a membrane-aqueous system using molecular dynamics simulations.MetaGO: Predicting Gene Ontology of Non-homologous Proteins Through Low-Resolution Protein Structure Prediction and Protein-Protein Network Mapping.Molecular phylogeny and predicted 3D structure of plant beta-D-N-acetylhexosaminidase.
P2860
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P2860
Recognizing protein-ligand binding sites by global structural alignment and local geometry refinement.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh
2012年學術文章
@zh-hant
name
Recognizing protein-ligand bin ...... and local geometry refinement.
@ast
Recognizing protein-ligand bin ...... and local geometry refinement.
@en
type
label
Recognizing protein-ligand bin ...... and local geometry refinement.
@ast
Recognizing protein-ligand bin ...... and local geometry refinement.
@en
prefLabel
Recognizing protein-ligand bin ...... and local geometry refinement.
@ast
Recognizing protein-ligand bin ...... and local geometry refinement.
@en
P2860
P1433
P1476
Recognizing protein-ligand bin ...... and local geometry refinement.
@en
P2093
Ambrish Roy
Yang Zhang
P2860
P304
P356
10.1016/J.STR.2012.03.009
P577
2012-05-03T00:00:00Z