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WKP|Q110029671
(VIAF cluster)
(Authority/Source Record)
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20241221010637.0 |
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(WKP)Q110029671
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(OCoLC)Q110029671
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Petra Schneider
‡c
chemist
‡9
en
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375
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‡a
2
‡2
iso5218
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670
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‡a
Author's A Computational Method for Unveiling the Target Promiscuity of Pharmacologically Active Compounds
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670
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‡a
Author's Accessing new chemical entities through microfluidic systems
|
670
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‡a
Author's Active learning for computational chemogenomics
|
670
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‡a
Author's Aryl Bis-Sulfonamide Inhibitors of IspF fromArabidopsis thalianaandPlasmodium falciparum
|
670
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‡a
Author's Chemically Advanced Template Search
|
670
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|
‡a
Author's Chemically Advanced Template Search (CATS) for Scaffold-Hopping and Prospective Target Prediction for 'Orphan' Molecules
|
670
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‡a
Author's Chemography of natural product space
|
670
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‡a
Author's Combinatorial chemistry by ant colony optimization.
|
670
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‡a
Author's Combining on-chip synthesis of a focused combinatorial library with computational target prediction reveals imidazopyridine GPCR ligands
|
670
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‡a
Author's Common non-epigenetic drugs as epigenetic modulators
|
670
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‡a
Author's Comparison of correlation vector methods for ligand-based similarity searching
|
670
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‡a
Author's Coping with polypharmacology by computational medicinal chemistry
|
670
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‡a
Author's Counting on natural products for drug design
|
670
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‡a
Author's De Novo Design at the Edge of Chaos
|
670
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‡a
Author's De Novo Fragment Design for Drug Discovery and Chemical Biology
|
670
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‡a
Author's Deorphaning pyrrolopyrazines as potent multi-target antimalarial agents
|
670
|
|
|
‡a
Author's Deorphaning the Macromolecular Targets of the Natural Anticancer Compound Doliculide
|
670
|
|
|
‡a
Author's Designing Multi-target Compound Libraries with Gaussian Process Models
|
670
|
|
|
‡a
Author's Development of a virtual screening method for identification of "frequent hitters" in compound libraries
|
670
|
|
|
‡a
Author's Distance phenomena in high-dimensional chemical descriptor spaces: consequences for similarity-based approaches
|
670
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‡a
Author's Drugs by numbers: reaction-driven de novo design of potent and selective anticancer leads
|
670
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|
|
‡a
Author's Engineering of a functional γ-tocopherol transfer protein
|
670
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|
‡a
Author's Engineering of a functional γ-tocopherol transfer protein
|
670
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‡a
Author's Erratum: Generative Recurrent Networks for De Novo Drug Design
|
670
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‡a
Author's Exploring the chemical space of gamma-secretase modulators
|
670
|
|
|
‡a
Author's Exploring the Structural Space of the Galectin-1-Ligand Interaction
|
670
|
|
|
‡a
Author's Extraction and visualization of potential pharmacophore points using support vector machines: application to ligand-based virtual screening for COX-2 inhibitors
|
670
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|
‡a
Author's From Complex Natural Products to Simple Synthetic Mimetics by Computational De Novo Design
|
670
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‡a
Author's From molecular shape to potent bioactive agents II: fragment-based de novo design
|
670
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‡a
Author's From Virtual Screening to Bioactive Compounds by Visualizing and Clustering of Chemical Space
|
670
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|
‡a
Author's Go with the flow: de-orphaning focused combinatorial libraries.
|
670
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‡a
Author's Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides
|
670
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|
|
‡a
Author's Identification of natural-product-derived inhibitors of 5-lipoxygenase activity by ligand-based virtual screening
|
670
|
|
|
‡a
Author's Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning
|
670
|
|
|
‡a
Author's Identifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensus
|
670
|
|
|
‡a
Author's Immunosuppressive small molecule discovered by structure-based virtual screening for inhibitors of protein-protein interactions
|
670
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|
|
‡a
Author's Inhibitors of Helicobacter pylori protease HtrA found by 'virtual ligand' screening combat bacterial invasion of epithelia
|
670
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‡a
Author's Macromolecular target prediction by self-organizing feature maps
|
670
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|
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‡a
Author's Matrix-based Molecular Descriptors for Prospective Virtual Compound Screening
|
670
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|
|
‡a
Author's Multi-objective molecular de novo design by adaptive fragment prioritization.
|
670
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‡a
Author's Multidimensional Design of Anticancer Peptides.
|
670
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|
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‡a
Author's Native Electrospray Ionization Mass Spectrometry Reveals Multiple Facets of Aptamer-Ligand Interactions: From Mechanism to Binding Constants
|
670
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|
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‡a
Author's Neighborhood-Preserving Visualization of Adaptive Structure-Activity Landscapes: Application to Drug Discovery
|
670
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|
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‡a
Author's New allosteric modulators of metabotropic glutamate receptor 5
|
670
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‡a
Author's New allosteric modulators of metabotropic glutamate receptor 5 (mGluR5) found by ligand-based virtual screening
|
670
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‡a
Author's Peptide-Membrane Interaction between Targeting and Lysis
|
670
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‡a
Author's Piloting the membranolytic activities of peptides with a self-organizing map.
|
670
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|
‡a
Author's Polypharmacological Drug-target Inference for Chemogenomics
|
670
|
|
|
‡a
Author's Privileged Structures Revisited
|
670
|
|
|
‡a
Author's Rational Design of Membrane-Pore-Forming Peptides
|
670
|
|
|
‡a
Author's Reaction-driven de novo design, synthesis and testing of potential type II kinase inhibitors.
|
670
|
|
|
‡a
Author's Rethinking drug design in the artificial intelligence era
|
670
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|
|
‡a
Author's Revealing the macromolecular targets of complex natural products
|
670
|
|
|
‡a
Author's Revealing the Macromolecular Targets of Fragment-Like Natural Products
|
670
|
|
|
‡a
Author's Scaffold hopping by "fuzzy" pharmacophores and its application to RNA targets
|
670
|
|
|
‡a
Author's Scaffold-hopping cascade yields potent inhibitors of 5-lipoxygenase
|
670
|
|
|
‡a
Author's Scoring of de novo Designed Chemical Entities by Macromolecular Target Prediction.
|
670
|
|
|
‡a
Author's Self-Organizing Molecular Fingerprints: A Ligand-Based View on Drug-Like Chemical Space and Off-Target Prediction
|
670
|
|
|
‡a
Author's Spherical harmonics coefficients for ligand-based virtual screening of cyclooxygenase inhibitors
|
670
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|
|
‡a
Author's Structural insights on cholesterol endosynthesis: Binding of squalene and 2,3-oxidosqualene to supernatant protein factor
|
670
|
|
|
‡a
Author's Target prediction by cascaded self-organizing maps for ligand de-orphaning and side-effect investigation.
|
670
|
|
|
‡a
Author's Target Profile Prediction and Practical Evaluation of a Biginelli-Type Dihydropyrimidine Compound Library
|
670
|
|
|
‡a
Author's Target Profile Prediction: Cross-Activation of Peroxisome Proliferator-Activated Receptor
|
670
|
|
|
‡a
Author's Target Profile Prediction: Cross-Activation of Peroxisome Proliferator-Activated Receptor (PPAR) and Farnesoid X Receptor (FXR)
|
670
|
|
|
‡a
Author's Targeting dynamic pockets of HIV-1 protease by structure-based computational screening for allosteric inhibitors
|
670
|
|
|
‡a
Author's Targeting flexibility: a structure-based computational study revealing allosteric HIV-1 protease inhibitors.
|
670
|
|
|
‡a
Author's Virtual screening for compounds that mimic protein-protein interface epitopes
|
670
|
|
|
‡a
Author's Virtual screening for PPAR modulators using a probabilistic neural network
|
670
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|
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‡a
Author's Voyages to the (un)known: adaptive design of bioactive compounds
|
919
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‡a
identifyingthemacromoleculartargetsofdenovodesignedchemicalentitiesthroughselforganizingmapconsensus
‡A
Identifying the macromolecular targets of de novo-designed chemical entities through self-organizing map consensus
‡9
1
|
919
|
|
|
‡a
multiobjectivemoleculardenovodesignbyadaptivefragmentprioritization
‡A
Multi-objective molecular de novo design by adaptive fragment prioritization.
‡9
1
|
919
|
|
|
‡a
multidimensionaldesignofanticancerpeptides
‡A
Multidimensional Design of Anticancer Peptides.
‡9
1
|
919
|
|
|
‡a
neighborhoodpreservingvisualizationofadaptivestructureactivitylandscapesapplicationtodrugdiscovery
‡A
Neighborhood-Preserving Visualization of Adaptive Structure-Activity Landscapes: Application to Drug Discovery
‡9
1
|
919
|
|
|
‡a
fromvirtualscreeningtobioactivecompoundsbyvisualizingandclusteringofchemicalspace
‡A
From Virtual Screening to Bioactive Compounds by Visualizing and Clustering of Chemical Space
‡9
1
|
919
|
|
|
‡a
5withtheflowdeorphaningfocusedcombinatoriallibraries
‡A
Go with the flow: de-orphaning focused combinatorial libraries.
‡9
1
|
919
|
|
|
‡a
newallostericmodulatorsofmetabotropicglutamatereceptor5
‡A
New allosteric modulators of metabotropic glutamate receptor 5
‡9
1
|
919
|
|
|
‡a
newallostericmodulatorsofmetabotropicglutamatereceptor5mglur5foundbyligandbasedvirtualscreening
‡A
New allosteric modulators of metabotropic glutamate receptor 5 (mGluR5) found by ligand-based virtual screening
‡9
1
|
919
|
|
|
‡a
peptidemembraneinteractionbetweentargetingandlysis
‡A
Peptide-Membrane Interaction between Targeting and Lysis
‡9
1
|
919
|
|
|
‡a
voyagestothe1knownadaptivedesignofbioactivecompounds
‡A
Voyages to the (un)known: adaptive design of bioactive compounds
‡9
1
|
919
|
|
|
‡a
virtualscreeningforpparmodulatorsusingaprobabilisticneuralnetwork
‡A
Virtual screening for PPAR modulators using a probabilistic neural network
‡9
1
|
919
|
|
|
‡a
chemicallyadvancedtemplatesearch
‡A
Chemically Advanced Template Search
‡9
1
|
919
|
|
|
‡a
inhibitorsofhelicobacterpyloriproteasehtrafoundbyvirtualligandscreeningcombatbacterialinvasionofepithelia
‡A
Inhibitors of Helicobacter pylori protease HtrA found by 'virtual ligand' screening combat bacterial invasion of epithelia
‡9
1
|
919
|
|
|
‡a
matrixbasedmoleculardescriptorsforprospectivevirtualcompoundscreening
‡A
Matrix-based Molecular Descriptors for Prospective Virtual Compound Screening
‡9
1
|
919
|
|
|
‡a
chemicallyadvancedtemplatesearchcatsforscaffoldhoppingandprospectivetargetpredictionfororphanmolecules
‡A
Chemically Advanced Template Search (CATS) for Scaffold-Hopping and Prospective Target Prediction for 'Orphan' Molecules
‡9
1
|
919
|
|
|
‡a
distancephenomenainhighdimensionalchemicaldescriptorspacesconsequencesforsimilaritybasedapproaches
‡A
Distance phenomena in high-dimensional chemical descriptor spaces: consequences for similarity-based approaches
‡9
1
|
919
|
|
|
‡a
computationalmethodforunveilingthetargetpromiscuityofpharmacologicallyactivecompounds
‡A
A Computational Method for Unveiling the Target Promiscuity of Pharmacologically Active Compounds
‡9
1
|
919
|
|
|
‡a
chemographyofnaturalproductspace
‡A
Chemography of natural product space
‡9
1
|
919
|
|
|
‡a
novodesignattheedgeofchaos
‡A
De Novo Design at the Edge of Chaos
‡9
1
|
919
|
|
|
‡a
accessingnewchemicalentitiesthroughmicrofluidicsystems
‡A
Accessing new chemical entities through microfluidic systems
‡9
1
|
919
|
|
|
‡a
macromoleculartargetpredictionbyselforganizingfeaturemaps
‡A
Macromolecular target prediction by self-organizing feature maps
‡9
1
|
919
|
|
|
‡a
nativeelectrosprayionizationmassspectrometryrevealsmultiplefacetsofaptamerligandinteractionsfrommechanismtobindingconstants
‡A
Native Electrospray Ionization Mass Spectrometry Reveals Multiple Facets of Aptamer-Ligand Interactions: From Mechanism to Binding Constants
‡9
1
|
919
|
|
|
‡a
hybridnetworkmodelfordeeplearningofchemicaldataapplicationtoantimicrobialpeptides
‡A
Hybrid Network Model for "Deep Learning" of Chemical Data: Application to Antimicrobial Peptides
‡9
1
|
919
|
|
|
‡a
activelearningforcomputationalchemogenomics
‡A
Active learning for computational chemogenomics
‡9
1
|
919
|
|
|
‡a
frommolecularshapetopotentbioactiveagents2fragmentbaseddenovodesign
‡A
From molecular shape to potent bioactive agents II: fragment-based de novo design
‡9
1
|
919
|
|
|
‡a
fromcomplexnaturalproductstosimplesyntheticmimeticsbycomputationaldenovodesign
‡A
From Complex Natural Products to Simple Synthetic Mimetics by Computational De Novo Design
‡9
1
|
919
|
|
|
‡a
extractionandvisualizationofpotenti Alpha rmacophorepointsusingsupportvectormachinesapplicationtoligandbasedvirtualscreeningforcox2inhibitors
‡A
Extraction and visualization of potential pharmacophore points using support vector machines: application to ligand-based virtual screening for COX-2 inhibitors
‡9
1
|
919
|
|
|
‡a
exploringthestructuralspaceofthegalectin1ligandinteraction
‡A
Exploring the Structural Space of the Galectin-1-Ligand Interaction
‡9
1
|
919
|
|
|
‡a
arylbissulfonamideinhibitorsofispffromarabidopsisthalianaandplasmodiumfalciparum
‡A
Aryl Bis-Sulfonamide Inhibitors of IspF fromArabidopsis thalianaandPlasmodium falciparum
‡9
1
|
919
|
|
|
‡a
exploringthechemicalspaceofgammasecretasemodulators
‡A
Exploring the chemical space of gamma-secretase modulators
‡9
1
|
919
|
|
|
‡a
erratumgenerativerecurrentnetworksfordenovodrugdesign
‡A
Erratum: Generative Recurrent Networks for De Novo Drug Design
‡9
1
|
919
|
|
|
‡a
engineeringofafunctionalγtocopheroltransferprotein
‡A
Engineering of a functional γ-tocopherol transfer protein
‡9
1
|
919
|
|
|
‡a
polypharmacologicaldrugtargetinferenceforchemogenomics
‡A
Polypharmacological Drug-target Inference for Chemogenomics
‡9
1
|
919
|
|
|
‡a
privilegedstructuresrevisited
‡A
Privileged Structures Revisited
‡9
1
|
919
|
|
|
‡a
rationaldesignofmembraneporeformingpeptides
‡A
Rational Design of Membrane-Pore-Forming Peptides
‡9
1
|
919
|
|
|
‡a
reactiondrivendenovodesignsynthesisandtestingofpotentialtype2kinaseinhibitors
‡A
Reaction-driven de novo design, synthesis and testing of potential type II kinase inhibitors.
‡9
1
|
919
|
|
|
‡a
rethinkingdrugdesignintheartificialintelligenceera
‡A
Rethinking drug design in the artificial intelligence era
‡9
1
|
919
|
|
|
‡a
revealingthemacromoleculartargetsofcomplexnaturalproducts
‡A
Revealing the macromolecular targets of complex natural products
‡9
1
|
919
|
|
|
‡a
revealingthemacromoleculartargetsoffragmentlikenaturalproducts
‡A
Revealing the Macromolecular Targets of Fragment-Like Natural Products
‡9
1
|
919
|
|
|
‡a
scaffoldhoppingbyfuzzypharmacophoresanditsapplicationtornatargets
‡A
Scaffold hopping by "fuzzy" pharmacophores and its application to RNA targets
‡9
1
|
919
|
|
|
‡a
scaffoldhoppingcascadeyieldspotentinhibitorsof5lipoxygenase
‡A
Scaffold-hopping cascade yields potent inhibitors of 5-lipoxygenase
‡9
1
|
919
|
|
|
‡a
scoringofdenovodesignedchemicalentitiesbymacromoleculartargetprediction
‡A
Scoring of de novo Designed Chemical Entities by Macromolecular Target Prediction.
‡9
1
|
919
|
|
|
‡a
selforganizingmolecularfingerprintsaligandbasedviewondruglikechemicalspaceandofftargetprediction
‡A
Self-Organizing Molecular Fingerprints: A Ligand-Based View on Drug-Like Chemical Space and Off-Target Prediction
‡9
1
|
919
|
|
|
‡a
sphericalharmonicscoefficientsforligandbasedvirtualscreeningofcyclooxygenaseinhibitors
‡A
Spherical harmonics coefficients for ligand-based virtual screening of cyclooxygenase inhibitors
‡9
1
|
919
|
|
|
‡a
structuralinsightsoncholesterolendosynthesisbindingofsqualeneand23oxidosqualenetosupernatantproteinfactor
‡A
Structural insights on cholesterol endosynthesis: Binding of squalene and 2,3-oxidosqualene to supernatant protein factor
‡9
1
|
919
|
|
|
‡a
targetpredictionbycascadedselforganizingmapsforliganddeorphaningandsideeffectinvestigation
‡A
Target prediction by cascaded self-organizing maps for ligand de-orphaning and side-effect investigation.
‡9
1
|
919
|
|
|
‡a
targetprofilepredictionandpracticalevaluationofabiginellitypedihydropyrimidinecompoundlibrary
‡A
Target Profile Prediction and Practical Evaluation of a Biginelli-Type Dihydropyrimidine Compound Library
‡9
1
|
919
|
|
|
‡a
engineeringofafunctionali3tocopheroltransferprotein
‡A
Engineering of a functional γ-tocopherol transfer protein
‡9
1
|
919
|
|
|
‡a
drugsbynumbersreactiondrivendenovodesignofpotentandselectiveanticancerleads
‡A
Drugs by numbers: reaction-driven de novo design of potent and selective anticancer leads
‡9
1
|
919
|
|
|
‡a
identificationofnaturalproductderivedinhibitorsof5lipoxygenaseactivitybyligandbasedvirtualscreening
‡A
Identification of natural-product-derived inhibitors of 5-lipoxygenase activity by ligand-based virtual screening
‡9
1
|
919
|
|
|
‡a
combinatorialchemistrybyantcolonyoptimization
‡A
Combinatorial chemistry by ant colony optimization.
‡9
1
|
919
|
|
|
‡a
developmentofavirtualscreeningmethodforidentificationoffrequenthittersincompoundlibraries
‡A
Development of a virtual screening method for identification of "frequent hitters" in compound libraries
‡9
1
|
919
|
|
|
‡a
designingmultitargetcompoundlibrarieswithgaussianprocessmodels
‡A
Designing Multi-target Compound Libraries with Gaussian Process Models
‡9
1
|
919
|
|
|
‡a
identificationofsyntheticactivatorsofcancercellmigrationbyhybriddeeplearning
‡A
Identification of Synthetic Activators of Cancer Cell Migration by Hybrid Deep Learning
‡9
1
|
919
|
|
|
‡a
pilotingthemembranolyticactivitiesofpeptideswithaselforganizingmap
‡A
Piloting the membranolytic activities of peptides with a self-organizing map.
‡9
1
|
919
|
|
|
‡a
combiningonchipsynthesisofafocusedcombinatoriallibrarywithcomputationaltargetpredictionrevealsimidazopyridinegpcrligands
‡A
Combining on-chip synthesis of a focused combinatorial library with computational target prediction reveals imidazopyridine GPCR ligands
‡9
1
|
919
|
|
|
‡a
comparisonofcorrelationvectormethodsforligandbasedsimilaritysearching
‡A
Comparison of correlation vector methods for ligand-based similarity searching
‡9
1
|
919
|
|
|
‡a
copingwithpolypharmacologybycomputationalmedicinalchemistry
‡A
Coping with polypharmacology by computational medicinal chemistry
‡9
1
|
919
|
|
|
‡a
countingonnaturalproductsfordrugdesign
‡A
Counting on natural products for drug design
‡9
1
|
919
|
|
|
‡a
commonnonepigeneticdrugsasepigeneticmodulators
‡A
Common non-epigenetic drugs as epigenetic modulators
‡9
1
|
919
|
|
|
‡a
novofragmentdesignfordrugdiscoveryandchemicalbiology
‡A
De Novo Fragment Design for Drug Discovery and Chemical Biology
‡9
1
|
919
|
|
|
‡a
deorphaningpyrrolopyrazinesaspotentmultitargetantimalarialagents
‡A
Deorphaning pyrrolopyrazines as potent multi-target antimalarial agents
‡9
1
|
919
|
|
|
‡a
deorphaningthemacromoleculartargetsofthenaturalanticancercompounddoliculide
‡A
Deorphaning the Macromolecular Targets of the Natural Anticancer Compound Doliculide
‡9
1
|
919
|
|
|
‡a
immunosuppressivesmallmoleculediscoveredbystructurebasedvirtualscreeningforinhibitorsofproteinproteininteractions
‡A
Immunosuppressive small molecule discovered by structure-based virtual screening for inhibitors of protein-protein interactions
‡9
1
|
919
|
|
|
‡a
targetprofilepredictioncrossactivationofperoxisomeproliferatoractivatedreceptor
‡A
Target Profile Prediction: Cross-Activation of Peroxisome Proliferator-Activated Receptor
‡9
1
|
919
|
|
|
‡a
targetprofilepredictioncrossactivationofperoxisomeproliferatoractivatedreceptorpparandfarnesoid10receptorfxr
‡A
Target Profile Prediction: Cross-Activation of Peroxisome Proliferator-Activated Receptor (PPAR) and Farnesoid X Receptor (FXR)
‡9
1
|
919
|
|
|
‡a
targetingdynamicpocketsofhiv1proteasebystructurebasedcomputationalscreeningforallostericinhibitors
‡A
Targeting dynamic pockets of HIV-1 protease by structure-based computational screening for allosteric inhibitors
‡9
1
|
919
|
|
|
‡a
targetingflexibilityastructurebasedcomputationalstudyrevealingallosterichiv1proteaseinhibitors
‡A
Targeting flexibility: a structure-based computational study revealing allosteric HIV-1 protease inhibitors.
‡9
1
|
919
|
|
|
‡a
virtualscreeningforcompoundsthatmimicproteinproteininterfaceepitopes
‡A
Virtual screening for compounds that mimic protein-protein interface epitopes
‡9
1
|
946
|
|
|
‡a
a
‡9
1
|
996
|
|
|
‡2
BIBSYS|90547535
|
996
|
|
|
‡2
BAV|495_283275
|
996
|
|
|
‡2
NTA|204345235
|
996
|
|
|
‡2
LC|n 82256125
|
996
|
|
|
‡2
SZ|1013764994
|
996
|
|
|
‡2
SZ|118758675
|
996
|
|
|
‡2
RERO|A026927136
|
996
|
|
|
‡2
DNB|1177267225
|
996
|
|
|
‡2
NTA|069314608
|
996
|
|
|
‡2
NII|DA02428858
|
996
|
|
|
‡2
DNB|1247304531
|
996
|
|
|
‡2
ISNI|0000000108968372
|
996
|
|
|
‡2
NTA|153847409
|
996
|
|
|
‡2
NTA|173989195
|
996
|
|
|
‡2
DNB|1292520019
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NKC|ola2003188486
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RERO|A005671603
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LC|n 85352425
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SUDOC|132707608
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‡2
ERRR|a12526769
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SUDOC|244357889
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DNB|1037030001
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‡2
DNB|172778441
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ISNI|000000005733765X
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DNB|129272000
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DNB|118609610
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LC|n 84069360
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DNB|1177719479
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‡2
DNB|1019875887
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‡2
ERRR|a1252671x
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996
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DNB|136465056
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RERO|A012810219
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‡2
DNB|102999708X
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SUDOC|071563105
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‡2
DNB|1109807252
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‡2
ISNI|0000000365798474
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KRNLK|KAC199624464
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DNB|131358936
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‡2
PLWABN|9810550789405606
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RERO|A018912406
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DNB|121313336
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DE633|pe30073746
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ISNI|0000000114501787
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SUDOC|270510974
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LC|no2001070549
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BIBSYS|90638953
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ISNI|0000000008648726
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NTA|072000791
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NUKAT|n 2002067672
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SUDOC|028422929
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BNE|XX1733658
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ISNI|0000000109209087
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NTA|156233401
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NDL|00474620
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SUDOC|03074377X
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DNB|1226383505
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SZ|1104507927
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DNB|1100315861
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NKC|xx0215647
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NUKAT|n 2006132720
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LC|no2007146657
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ISNI|0000000021185957
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NKC|jn20000604935
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NUKAT|n 2006078825
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NLA|000035481831
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ISNI|0000000072171125
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BNF|12194942
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SZ|1104496763
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SUDOC|030273897
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NTA|070227020
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J9U|987007278108705171
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ISNI|0000000018057209
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NSK|000779802
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996
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‡2
BNCHL|10000000000000000167877
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SZ|1104502410
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‡2
DNB|1026908272
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‡2
NSK|000040378
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‡2
DNB|1192684869
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‡2
DNB|140533796
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‡2
DNB|1281784834
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‡2
SZ|137608616
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ERRR|a1252668x
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996
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CAOONL|ncf10367758
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DNB|129271993
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SUDOC|128189711
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SUDOC|192987283
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SUDOC|188619658
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NTA|154992062
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DNB|1013764994
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ISNI|0000000000734363
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PLWABN|9813218058105606
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CAOONL|ncf11179811
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DNB|1233365037
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RERO|A027786419
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DNB|1105782689
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RERO|A003803432
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RERO|A003803433
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‡2
RERO|A003803435
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RERO|A003803436
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DNB|1046852426
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‡2
RERO|A012522637
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‡2
DNB|1104496763
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DNB|1206595426
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NII|DA04009007
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996
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PLWABN|9810702510605606
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J9U|987007314100905171
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NTA|068451148
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JPG|500235873
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DNB|1037029453
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ISNI|0000000434841297
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996
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|
‡2
ISNI|0000000081448077
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‡2
DNB|1016931794
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‡2
ISNI|0000000051232822
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ISNI|0000000013400397
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J9U|987007355362905171
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ISNI|0000000108918367
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LC|nr2006001627
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ISNI|0000000108589954
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RERO|A012315811
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ISNI|0000000024361450
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ISNI|0000000120369487
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NKC|pna20211101747
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LC|no2010055173
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BNE|XX1691536
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NUKAT|n 2008093787
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DNB|138907250
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BIBSYS|90346556
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DNB|131784501
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NUKAT|n 2005118433
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DNB|133945189
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DNB|116836989
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DNB|131880918
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RERO|A012331944
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LC|n 94073572
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DNB|133470938
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JPG|500242600
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DNB|1075056802
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DNB|1021026123
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996
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LIH|LNB:B__8W;=BH
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996
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LC|nb2013006529
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996
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SUDOC|243480342
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DNB|139715444
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DNB|1329921127
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RERO|A012354468
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SUDOC|118708406
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J9U|987007451322705171
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SUDOC|168626047
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DNB|105645704X
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LC|n 86873768
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NTA|069005249
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J9U|987007267779105171
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CAOONL|ncf11402978
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DNB|1069168351
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996
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SZ|1109807252
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J9U|987007528260005171
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NUKAT|n 2019000104
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NTA|228033268
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996
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BIBSYS|90903700
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996
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LC|n 82081210
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DNB|128630906
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DNB|1248747372
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NII|DA07478944
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DNB|138176728
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NUKAT|n 2019015379
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NUKAT|n 2007089603
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NTA|168759349
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996
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NTA|327187549
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996
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‡2
PLWABN|9810600557705606
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DNB|131358898
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SUDOC|08024629X
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996
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DNB|120813653
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996
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LIH|LNB:CX_d__a_;=B_w_
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996
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LC|no2011195447
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996
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ISNI|0000000108959951
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NII|DA09600787
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DNB|1037047524
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RERO|A026880088
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DNB|115116769X
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DNB|1019875720
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NUKAT|n 2010115097
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DNB|123543525
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DNB|172361540
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LC|no2012019887
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ISNI|0000000066820475
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NUKAT|n 2017087061
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DNB|1104496097
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DNB|1200971418
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RERO|A026875157
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LC|nr 93044089
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LC|n 94096293
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ISNI|0000000456805887
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PLWABN|9810685025405606
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NUKAT|n 2010048681
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RERO|A012401702
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996
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DNB|1066924082
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DNB|136055699
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996
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VLACC|000029060
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996
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SUDOC|116429941
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DNB|125452195
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DNB|1035133318
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DNB|173022405
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NUKAT|n 2010041405
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CAOONL|ncf12141354
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CAOONL|ncf11493585
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CAOONL|ncf11753982
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DNB|135767237
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SUDOC|03055764X
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RERO|A012333354
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ISNI|0000000390970782
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NUKAT|n 2012267850
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ISNI|0000000123478777
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LC|n 87101124
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J9U|987007274580505171
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DNB|137674198
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RERO|A013891854
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NLA|000035481825
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DNB|1035132079
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BNF|12026125
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ISNI|0000000076921595
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NUKAT|n 2012263969
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ISNI|0000000074557064
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DNB|137608616
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|
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RERO|A026880093
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996
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|
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BIBSYS|3073796
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DNB|1049727053
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DNB|1013768965
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|
|
‡2
LC|no2002098751
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996
|
|
|
‡2
SZ|13135891X
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|
‡2
DNB|1104507927
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|
|
|
‡2
LC|nb2012004870
|
996
|
|
|
‡2
LC|n 89628186
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|
|
|
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ISNI|0000000012504311
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|
|
|
‡2
NKC|xx0009590
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996
|
|
|
‡2
NTA|133344568
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996
|
|
|
‡2
SUDOC|230824587
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|
|
|
‡2
SZ|1104496097
|
996
|
|
|
‡2
LC|n 79080102
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996
|
|
|
‡2
LIH|LNB:,_a_,;=BN
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996
|
|
|
‡2
DNB|1290485798
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996
|
|
|
‡2
DNB|120432283X
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996
|
|
|
‡2
NII|DA02792158
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|
|
|
‡2
NKC|zcu2013770947
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996
|
|
|
‡2
J9U|987007320082105171
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|
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|
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BLBNB|000347287
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|
|
|
‡2
DNB|125452179
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|
|
|
‡2
LC|n 92028620
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996
|
|
|
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DE633|pe41014508
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996
|
|
|
‡2
ISNI|0000000016052017
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996
|
|
|
‡2
RERO|A012433981
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996
|
|
|
‡2
DNB|1136588035
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997
|
|
|
‡a
0 0 lived 0 0
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1
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