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Record W1980798823 · doi:10.1074/mcp.m111.016642

Target Identification by Chromatographic Co-elution: Monitoring of Drug-Protein Interactions without Immobilization or Chemical Derivatization

2012· article· en· W1980798823 on OpenAlexaff
Janet N.Y. Chan, Dajana Vuckovic, Lekha Sleno, Jonathan B. Olsen, Oxana Pogoutse, Pierre C. Havugimana, Johannes A. Hewel, Navgeet Bajaj, Marcel F. Musteata, Corey Nislow, Andrew Emili

Bibliographic record

VenueMolecular & Cellular Proteomics · 2012
Typearticle
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDerivatizationChemistryTarget proteinChromatographyBiochemistryMass spectrometryGene

Abstract

fetched live from OpenAlex

Bioactive molecules typically mediate their biological effects through direct physical association with one or more cellular proteins. The detection of drug-target interactions is therefore essential for the characterization of compound mechanism of action and off-target effects, but generic label-free approaches for detecting binding events in biological mixtures have remained elusive. Here, we report a method termed target identification by chromatographic co-elution (TICC) for routinely monitoring the interaction of drugs with cellular proteins under nearly physiological conditions in vitro based on simple liquid chromatographic separations of cell-free lysates. Correlative proteomic analysis of drug-bound protein fractions by shotgun sequencing is then performed to identify candidate target(s). The method is highly reproducible, does not require immobilization or derivatization of drug or protein, and is applicable to diverse natural products and synthetic compounds. The capability of TICC to detect known drug-protein target physical interactions (Kd range: micromolar to nanomolar) is demonstrated both qualitatively and quantitatively. We subsequently used TICC to uncover the sterol biosynthetic enzyme Erg6p as a novel putative anti-fungal target. Furthermore, TICC identified Asc1 and Dak1, a core 40 S ribosomal protein that represses gene expression, and dihydroxyacetone kinase involved in stress adaptation, respectively, as novel yeast targets of a dopamine receptor agonist. Bioactive molecules typically mediate their biological effects through direct physical association with one or more cellular proteins. The detection of drug-target interactions is therefore essential for the characterization of compound mechanism of action and off-target effects, but generic label-free approaches for detecting binding events in biological mixtures have remained elusive. Here, we report a method termed target identification by chromatographic co-elution (TICC) for routinely monitoring the interaction of drugs with cellular proteins under nearly physiological conditions in vitro based on simple liquid chromatographic separations of cell-free lysates. Correlative proteomic analysis of drug-bound protein fractions by shotgun sequencing is then performed to identify candidate target(s). The method is highly reproducible, does not require immobilization or derivatization of drug or protein, and is applicable to diverse natural products and synthetic compounds. The capability of TICC to detect known drug-protein target physical interactions (Kd range: micromolar to nanomolar) is demonstrated both qualitatively and quantitatively. We subsequently used TICC to uncover the sterol biosynthetic enzyme Erg6p as a novel putative anti-fungal target. Furthermore, TICC identified Asc1 and Dak1, a core 40 S ribosomal protein that represses gene expression, and dihydroxyacetone kinase involved in stress adaptation, respectively, as novel yeast targets of a dopamine receptor agonist. Drugs often act as protein antagonists (inhibitors) or agonists (activators) through selective physical interactions with targets in disease-relevant pathways, yet many pharmaceuticals and chemical probes from cell-based phenotypic screens currently lack defined cellular targets (1Chan J.N. Nislow C. Emili A. Recent advances and method development for drug target identification.Trends Pharmacol. Sci. 2010; 31: 82-88Abstract Full Text Full Text PDF PubMed Scopus (87) Google Scholar). Although conventional “target-based” drug discovery pipelines emphasize functional characterization and in vitro inhibition/activation assays (2Schreiber S.L. Target-oriented and diversity-oriented organic synthesis in drug discovery.Science. 2000; 287: 1964-1969Crossref PubMed Scopus (2252) Google Scholar), unexpected side effects can occur when drugs interact with additional, unanticipated cellular proteins (3Frantz S. Drug discovery: Playing dirty.Nature. 2005; 437: 942-943Crossref PubMed Scopus (304) Google Scholar). Computational strategies often predict multiple off-target effects even for well known pharmaceuticals that are intended to be highly selective (4Keiser M.J. Setola V. Irwin J.J. Laggner C. Abbas A.I. Hufeisen S.J. Jensen N.H. Kuijer M.B. Matos R.C. Tran T.B. Whaley R. Glennon R.A. Hert J. Thomas K.L. Edwards D.D. Shoichet B.K. Roth B.L. Predicting new molecular targets for known drugs.Nature. 2009; 462: 175-181Crossref PubMed Scopus (1267) Google Scholar), and the ability of compounds to engage multiple targets can sometimes be clinically and biologically desirable (5Mestres J. Gregori-Puigjané E. Conciliating binding efficiency and polypharmacology.Trends Pharmacol. Sci. 2009; 30: 470-474Abstract Full Text Full Text PDF PubMed Scopus (52) Google Scholar, 6Hopkins A.L. Network pharmacology: The next paradigm in drug discovery.Nat. Chem. Biol. 2008; 4: 682-690Crossref PubMed Scopus (2554) Google Scholar). Consequently, understanding drug action ultimately depends on an unbiased experimental validation of compound binding specificity in a physiologically relevant cellular context. Although chemical genetic screening methods have been developed to identify drug-affected pathways (7Giaever G. Flaherty P. Kumm J. Proctor M. Nislow C. Jaramillo D.F. Chu A.M. Jordan M.I. Arkin A.P. Davis R.W. Chemogenomic profiling: Identifying the functional interactions of small molecules in yeast.Proc. Natl. Acad. Sci. U. S. A. 2004; 101: 793-798Crossref PubMed Scopus (415) Google Scholar, 8Parsons A.B. Lopez A. Givoni I.E. Williams D.E. Gray C.A. Porter J. Chua G. Sopko R. Brost R.L. Ho C.H. Wang J. Ketela T. Brenner C. Brill J.A. Fernandez G.E. Lorenz T.C. Payne G.S. Ishihara S. Ohya Y. Andrews B. Hughes T.R. Frey B.J. Graham T.R. Andersen R.J. Boone C. Exploring the mode-of-action of bioactive compounds by chemical-genetic profiling in yeast.Cell. 2006; 126: 611-625Abstract Full Text Full Text PDF PubMed Scopus (392) Google Scholar, 9Lamb J. Crawford E.D. Peck D. Modell J.W. Blat I.C. Wrobel M.J. Lerner J. Brunet J.P. Subramanian A. Ross K.N. Reich M. Hieronymus H. Wei G. Armstrong S.A. Haggarty S.J. Clemons P.A. Wei R. Carr S.A. Lander E.S. Golub T.R. The Connectivity Map: Using gene-expression signatures to connect small molecules, genes, and disease.Science. 2006; 313: 1929-1935Crossref PubMed Scopus (3509) Google Scholar), such approaches do not pinpoint the direct target(s) bound by a drug. Conversely, biochemical characterization of the protein targets of small molecules has traditionally been accomplished by immobilizing or labeling compounds for use as affinity ligands to probe cell lysates (10Terstappen G.C. Schlüpen C. Raggiaschi R. Gaviraghi G. Target deconvolution strategies in drug discovery.Nat. Rev. Drug Discov. 2007; 6: 891-903Crossref PubMed Scopus (333) Google Scholar, 11Rix U. Superti-Furga G. Target profiling of small molecules by chemical Chem. Biol. 2009; PubMed Scopus Google Scholar), but the of functional can a and is not to screening of diverse compounds. unbiased chemical strategies biochemical with have been developed to identify drug a biochemical drug target by the of a cell by the of a cell A.M. of to identify targets and Biol. 2006; Full Text Full Text PDF PubMed Scopus Google Scholar), drug affinity target the proteomic of or to identify targets based on the that the drug-protein is to B. R. M. S. Wang J. J.A. J.A. J. J. J. Target identification drug affinity target Natl. Acad. Sci. U. S. A. 2009; PubMed Scopus Google Scholar). Although approaches do not require chemical or labeling of the compound or an is for biochemical for drug affinity target drug binding not or even target the of in drug Drug Identifying and new for Rev. Drug Discov. 2004; PubMed Scopus Google Scholar), and the of cell-based phenotypic novel label-free chemical proteomic methods are to for the unbiased detection of the physical interactions of bioactive compounds with proteins in biological in a Here, we a applicable drug target identification based on liquid to to the interactions of small molecules and bioactive ligands with nearly cellular proteins in biological The is based on a in the chromatographic of a compound that binding to a protein target. is then used to the protein target(s). We of with diverse TICC used identification by chromatographic protein identification used identification by chromatographic protein identification to compound target and we identify novel targets for one and one We that TICC can be used to identify drug-protein interactions the for compound or protein immobilization or target identification by chromatographic co-elution protein identification monitoring synthetic target identification by chromatographic co-elution protein identification monitoring synthetic of and in and in a from C. H. Ho C.H. S.L. D. S. P. Porter J. Gray C.A. Andersen R.J. G. Nislow C. Andrews B. D. Graham T.R. M. Boone C. molecular yeast mode-of-action analysis of bioactive 2009; PubMed Scopus Google Scholar), from as in of drugs by to from protein in the of S. J.J. S. of affinity for protein 2005; PubMed Scopus Google for and from E. and cell protein by and respectively, as G. H. G. A. J. S. A.P. T. M. M. A. A. B. V. A. P. A. J. S. C. S. R. J.J. G. P. S. G. A.M. S. A. E. Hughes T.R. J. M. S.J. Emili A. of protein in the yeast 2006; PubMed Scopus Google Scholar, G. J. V. A. D. B. M. J. J. Emili A. and essential protein in 2005; PubMed Scopus Google Scholar). and Erg6p protein in yeast as R. D. Chua G. B. M. M. Hughes T.R. Boone C. Andrews pathways and by gene 2006; Full Text Full Text PDF PubMed Scopus Google and the in drug yeast in yeast to an of in and then to an of drug the and to a and to a drug of in of yeast for the with and for protein the drug yeast with a or a S. with and of R. R. D. Chua G. B. M. M. Hughes T.R. Boone C. Andrews pathways and by gene 2006; Full Text Full Text PDF PubMed Scopus Google for to and in synthetic or to an of The to an of in or and a or compound in to a drug of or by of a with a a with a or a a and a performed by a in with a a P. Emili A. proteomic discovery by liquid Sci. 2007; PubMed Scopus Google Scholar). The with of yeast protein of E. of or or of cell-free or with drug for on to target and drug to the through as in vitro drug of and in yeast assays and yeast and in vitro drug as of and A. The fractions a of of used for drug and the used for protein identification performed by a affinity in with a both of in to of A. performed the for and to conditions for method developed to candidate and used for protein target chromatographic performed on of and and performed the for and to conditions for of to drug by and the used for protein The with of yeast and or The and the of conditions the as for method fractions on and with the with of for and and the to for of in of with for and with in the the proteins sequencing with the by and in of method and as in the in performed a or on and for drug by a a of The for drug are in to or for with the to for both and in the of and to with the of of of and and and The and with or and to and The drug compounds used in not the use of such is the of to be and such as are of and drug drug and and in a new of with and with for drug of a by a on a on a or a on a as in mixtures a to a a the and the with of The with a and to an The a of a of to to to by a on to with a for to as the through one by the in with with in and a used with with of as with to by to B. to as the through one by the with with in and to and the D. analysis of the yeast by protein identification PubMed Scopus Google of compound protein fractions a as D. analysis of the yeast by protein identification PubMed Scopus Google Scholar, T. D. B. J. Emili A. a generic proteomic for Full Text Full Text PDF PubMed Scopus Google Scholar). a with of a to a with of and of of and from a by used to from the the by a organic as for but the to The in the in with the with from and the J. to of with in a protein PubMed Scopus Google relevant protein as and a of and for and respectively, and of the on the of the for for the we that the use of for of not of the for validation of identification of putative targets of or in the a the T. D. B. J. Emili A. a generic proteomic for Full Text Full Text PDF PubMed Scopus Google Scholar), and candidate an of used to the of protein in to proteins in bound drug the of the bound drug proteins identified in of the bound fractions simple in of of bound of drug of protein as with putative drug and of used to putative protein target of yeast Erg6p protein or with on for compound by with a of The by to the of bound drug. performed for a of candidate a and not in interaction of protein with not be in yeast from the R.C. J. of and binding of Biol. Chem. Full Text PDF PubMed Google in the genetic The to in yeast by and by with and by for The lysates then by to a to to and to to the lysates and with for The with and and with binding and proteins with and the of to of and subsequently on a to the with to and then with by lysates then with a for a of and to method as The TICC in is based on the of The is that binding to one or more target a chromatographic are with the a to drug. the is to that of protein the can small natural or of with the and by Although can be used to the and bound we have that a that is to of compounds with proteins is more the a compound of is with a putative target in a biological for by or by cell-free protein the to The is then from by with fractions for analysis by a is in the The both and bound are then an for the of such as in but more a highly and selective to the of in We typically in has the for the detection of drugs in biological the the detection of small of is when monitoring protein targets in biological the is and the of a that a of with the to target is then and the are in a of are to monitoring the the of and in a and for compounds of is The method in assays the compound of from in biological to drug The fractions bound compound are identified by the drug in drug protein for a and in chromatographic fractions are then to shotgun proteomic sequencing to identify proteins with the bound drug. the the protein are with the bound drug of and is used to identify the that are highly with the bound drug putative drug target(s). a of we the co-elution of the with affinity (Kd enzyme S. of and with and binding Natl. Acad. Sci. U. S. A. PubMed Scopus Google Scholar). The a well drug-target interaction by and biological T. B.J. R.C. The of a of PubMed Scopus Google Scholar, B. C.H. in yeast of drugs that target the of PubMed Scopus Google Scholar). We the chromatographic of in the or of of by a as a simple an a to the one to one binding R.C. J. of and binding of Biol. Chem. Full Text PDF PubMed Google Scholar). drug then Conversely, with a a in the of The in one of the is to a more with the of a with S. of and with and binding Natl. Acad. Sci. U. S. A. PubMed Scopus Google Scholar, S.J. for protein in the of from 30: PubMed Scopus (52) Google Scholar, B. P. M. B. C. of with Natl. Acad. Sci. U. S. A. 2006; PubMed Scopus Google Scholar, C. J. of and in 30: PubMed Scopus Google Scholar). co-elution by TICC both qualitatively and target and with R.C. J. of and binding of Biol. Chem. Full Text PDF PubMed Google Scholar). the specificity and of we performed or with an E. cell many proteins as a fractions of and the of by the of proteins with bound drug subsequently by shotgun The in the protein and of cell-free with with or with both a of and or of the of binding of drug to E. proteins and co-elution of the drug with even the target protein The of bound drug to target and a the of bound in association with We that interaction target and can be with and for affinity compounds by the of the TICC we next the binding of is a selective (Kd of the of the C. R. for of the molecular by the and Chem. PubMed Scopus Google Scholar, S. S. B. D. to the of and with PubMed Scopus Google involved in selective protein We performed of protein from the protein on and drug by drug binding with as as of protein and to the of analysis of the fractions the of the to drug of the proteins identified the and target of by detection of of in a a drug performed in demonstrated with with the drug off-target binding by TICC even the drug a yeast with or yeast to a of for A.B. Lopez A. Givoni I.E. Williams D.E. Gray C.A. Porter J. Chua G. Sopko R. Brost R.L. Ho C.H. Wang J. Ketela T. Brenner C. Brill J.A. Fernandez G.E. Lorenz T.C. Payne G.S. Ishihara S. Ohya Y. Andrews B. Hughes T.R. Frey B.J. Graham T.R. Andersen R.J. Boone C. Exploring the mode-of-action of bioactive compounds by chemical-genetic profiling in yeast.Cell. 2006; 126: 611-625Abstract Full Text Full Text PDF PubMed Scopus (392) Google Scholar, C. R. for of the molecular by the and Chem. PubMed Scopus Google Scholar), from a and subsequently by identified in the bound drug with a target and in a cellular be by TICC in vitro or in drug We next the of TICC to the interactions of affinity We co-elution and identified the protein target of a natural that yeast M.J. B. T. J. D. J. as a novel target for selective of protein Biol. Chem. Full Text Full Text PDF PubMed Scopus Google with affinity (Kd J.J. of a putative in by Biol. Chem. Full Text Full Text PDF PubMed Scopus Google Scholar), protein lysates from or The C.H. S.L. D. S. P. Porter J. Gray C.A. Andersen R.J. G. Nislow C. Andrews B. D. Graham T.R. M. Boone C. molecular yeast mode-of-action analysis of bioactive 2009; PubMed Scopus Google used for a in the J.J. of a putative in by Biol. Chem. Full Text Full Text PDF PubMed Scopus Google in one of a functional of binding be but not in the with as in bound drug in the with the of TICC to target affinity in cellular a drug Although has a affinity for one of the candidate targets identified by in the drug fractions the of proteins target We by chromatographic by a the of fractions from method to We the of method with yeast with in fractions and the proteins identified a more the to proteins in the drug-bound fractions both methods and the target the to for drug-protein the of TICC to identify the targets of even affinity compounds. We that not be for target the use of or more chromatographic methods can target we the of by of yeast with of in The highly reproducible, as by the The drug binding of the we to detect an interaction a of the of detection of the the of TICC to detect protein we a protein with a of a of such as the and M. M. M. T. and of both in in vitro by Biol. Chem. Full Text PDF PubMed Google Scholar, M. P. Y. and in and 2009; Full Text Full Text PDF PubMed Scopus Google and the to method we used a and for protein identification and an for as under The binding in fractions with and identified in the bound drug fractions and with the drug proteins to with of proteins are of the and or a that TICC be to detect not direct physical but the by a drug P. Emili A. proteomic discovery by liquid Sci. 2007; PubMed Scopus Google and to a compound of by TICC therefore biological in we not drug the of the compound with the is not under chromatographic conditions We and the to be to the for compounds such as an does not the of TICC for target detection and even in to for bound compounds. can be for drug is the of TICC for target we TICC to yeast lysates with the of the mechanism of action of an natural to S. A.M. S. M. E. Proctor M. C. Davis R.W. G. Nislow C. of assays Chem. Biol. 2008; 4: PubMed Scopus Google Scholar). a to drugs the essential yeast protein B. in the 4: PubMed Scopus Google Scholar), and based on genetic S. A.M. S. M. E. Proctor M. C. Davis R.W. G. Nislow C. of assays Chem. Biol. 2008; 4: PubMed Scopus Google as a target of We performed of cell of of the in a putative drug-target by a chromatographic a and the bound drug a of ribosomal both and fractions by to proteomic D. analysis of the yeast by protein identification PubMed Scopus Google Scholar). Although we not detect proteins not by one candidate of the proteins that to the drug a S. of and with and binding Natl. Acad. Sci. U. S. A. PubMed Scopus Google in the core the proteins Erg6p is the protein that in the the are to be proteins that with the drug as of a ribosomal or are involved in that not be relevant to Erg6p as a target of we Erg6p from yeast and direct binding to drug we compound with of and proteins in on the of in the in by the drug in the with the TICC drug binding with the that Erg6p can with Erg6p is a physiologically relevant we of to in as for S. A.M. S. M. E. Proctor M. C. Davis R.W. G. Nislow C. of assays Chem. Biol. 2008; 4: PubMed Scopus Google Scholar). a specificity we of a to in of a and highly to to or yeast in the of that Erg6p is a biologically relevant target of a we TICC to yeast to the off-target effects of the drug a dopamine receptor that is to protein and in S. E. M. J. M. G. Nislow C. effects of drugs by assays in 2008; 4: PubMed Scopus Google Scholar). of the compound yeast we drug binding and by method the of candidate proteins that with drug putative targets we an based on with bound drug and in with the in is as a for screening of is in in fractions is an of a of that receptor and the target of the protein candidate identified in drug-bound fractions J.P. D.E. of and receptor by novel dopamine receptor Pharmacol. 2005; PubMed Scopus Google Scholar). the we the proteins identified in the for the putative target identified in fractions but not in we the for direct physical binding with compound based on by with TICC we an of bound drug in fractions with is a drug target with TICC for fractions a kinase involved in and stress adaptation, that TICC can be used to drug interactions with multiple targets Although the molecular to be the identification of by TICC to side effects with of side effects by 2000; Google Scholar). Target identification or validation is essential for drug and of the mechanism of action of drugs and chemical probes unexpected off-target in be the development of generic interaction screening that are and well to with diverse compounds and biological TICC has the to the identification of the physical interaction of bioactive compounds and ligands in an unbiased in cell or biological not proteins involved in a known or The method of interactions in a physiologically relevant the for labeling or immobilization of the protein or Although of proteins has been A.M. of to identify targets and Biol. 2006; Full Text Full Text PDF PubMed Scopus Google Scholar, B. R. M. S. Wang J. J.A. J.A. J. J. J. Target identification drug affinity target Natl. Acad. Sci. U. S. A. 2009; PubMed Scopus Google Scholar), with drug and proteomic profiling is Furthermore, the compound is not or to TICC by nearly drug-target association We have that TICC is highly reproducible, and in that one a of that is by a such as an and for detection and for in monitoring is well a for protein for shotgun is and a biological for target(s). target can be protein lysates from or or both compound in or in vitro to for the of the is the ability to is when the compound of a or in the target. target deconvolution depends on drug target from we have the of multiple to the of candidate targets for biochemical to identify targets of compounds such as TICC is to chemical genetic assays for drug target Although in chemical genetic assays can identify a of that be a of direct targets and proteins involved in the or biological as the the proteomic be to identify the targets that interact with the compounds of The methods can a for target and to understanding of biological pathways and by bioactive compounds. the identification of or bound targets is by the of the of the target protein identification and the of drug we in strategies that can such as the use of multiple to putative target the use of to detection of binding to and binding and the use of to identify targets that be with protein TICC for compounds that do not well require the to of biological the of the drug-target the is is to use to The development of more and separations with more protein TICC is applicable to both drug discovery pipelines and the characterization of chemical probes from phenotypic screens and can drug mechanism of and off-target effects in a small to the interaction of such as or even with proteins. analysis is based on target and can be by the of a physiologically relevant drug well TICC can both of candidate and target and affinity that are for understanding the of Furthermore, that TICC be for the characterization of protein as drug Conversely, the of an for drug and require and with and that do not the binding interaction protein and to TICC to to are currently under in the of TICC is currently to to biological and to interactions in the to micromolar of the of We E. and G. for and of the Emili for and of the The a from S. The a from R. yeast and from C. H. J. Y. C. and D. V. and performed the and the and with A. E. the D. V. performed and and proteomic S. performed the and and proteomic J. B. performed the and for P. the proteins for target P. H. B. performed the for J. A. H. performed the proteomic for the and Y. and involved in M. M. involved in C. and target A. E. the TICC method and the from with

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.308
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations55
Published2012
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