{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T22:03:47Z","timestamp":1774044227994,"version":"3.50.1"},"reference-count":60,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2017,1,25]],"date-time":"2017-01-25T00:00:00Z","timestamp":1485302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/about_us\/legal\/notices"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>The identification of protein\u2013protein interaction (PPI) sites is an important step towards the characterization of protein functional integration in the cell complexity. Experimental methods are costly and time-consuming and computational tools for predicting PPI sites can fill the gaps of PPI present knowledge.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>We present ISPRED4, an improved structure-based predictor of PPI sites on unbound monomer surfaces. ISPRED4 relies on machine-learning methods and it incorporates features extracted from protein sequence and structure. Cross-validation experiments are carried out on a new dataset that includes 151 high-resolution protein complexes and indicate that ISPRED4 achieves a per-residue Matthew Correlation Coefficient of 0.48 and an overall accuracy of 0.85. Benchmarking results show that ISPRED4 is one of the top-performing PPI site predictors developed so far.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and Implementation<\/jats:title>\n                  <jats:p>ISPRED4 and datasets used in this study are available at http:\/\/ispred4.biocomp.unibo.it.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx044","type":"journal-article","created":{"date-parts":[[2017,1,28]],"date-time":"2017-01-28T01:25:31Z","timestamp":1485566731000},"page":"1656-1663","source":"Crossref","is-referenced-by-count":32,"title":["ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model"],"prefix":"10.1093","volume":"33","author":[{"given":"Castrense","family":"Savojardo","sequence":"first","affiliation":[{"name":"Biocomputing Group, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy"},{"name":"CIG, Interdepartmental Center \u00abLuigi Galvani\u00bb for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity, University of Bologna, Bologna, Italy"}]},{"given":"Piero","family":"Fariselli","sequence":"additional","affiliation":[{"name":"Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Padova, Italy"}]},{"given":"Pier Luigi","family":"Martelli","sequence":"additional","affiliation":[{"name":"Biocomputing Group, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy"},{"name":"CIG, Interdepartmental Center \u00abLuigi Galvani\u00bb for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity, University of Bologna, Bologna, Italy"}]},{"given":"Rita","family":"Casadio","sequence":"additional","affiliation":[{"name":"Biocomputing Group, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy"},{"name":"CIG, Interdepartmental Center \u00abLuigi Galvani\u00bb for Integrated Studies of Bioinformatics, Biophysics and Biocomplexity, University of Bologna, Bologna, Italy"}]}],"member":"286","published-online":{"date-parts":[[2017,1,25]]},"reference":[{"key":"2023020205301137400_btx044-B1","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1002\/prot.20176","article-title":"Accurate prediction of solvent accessibility using neural networks-based regression","volume":"56","author":"Adamczak","year":"2004","journal-title":"Proteins: Struct. Funct. Genet"},{"key":"2023020205301137400_btx044-B2","doi-asserted-by":"crossref","first-page":"e41430.","DOI":"10.1371\/journal.pone.0041430","article-title":"Mapping the mutual information network of enzymatic families in the protein structure to unveil functional features","volume":"7","author":"Aguilar","year":"2012","journal-title":"PLoS One"},{"key":"2023020205301137400_btx044-B3","doi-asserted-by":"crossref","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","article-title":"Gapped BLAST and PSI-BLAST: a new generation of protein database search programs","volume":"25","author":"Altschul","year":"1997","journal-title":"Nucleic Acids Res"},{"key":"2023020205301137400_btx044-B4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13015-015-0033-9","article-title":"Algorithmic approaches to protein\u2013protein interaction site prediction","volume":"10","author":"Aumentado-Armstrong","year":"2015","journal-title":"Algorithms Mol. Biol"},{"key":"2023020205301137400_btx044-B5","doi-asserted-by":"crossref","first-page":"1487","DOI":"10.1093\/bioinformatics\/bti242","article-title":"Improved prediction of protein\u2013protein binding sites using a support vector machines approach","volume":"21","author":"Bradford","year":"2005","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B6","doi-asserted-by":"crossref","first-page":"165.","DOI":"10.1038\/msb4100203","article-title":"Accurate prediction of protein\u2013protein interactions from sequence alignments using a Bayesian method","volume":"4","author":"Burger","year":"2008","journal-title":"Mol. Syst. Biol"},{"key":"2023020205301137400_btx044-B7","doi-asserted-by":"crossref","first-page":"e1000978.","DOI":"10.1371\/journal.pcbi.1000978","article-title":"Networks of high mutual information define the structural proximity of catalytic sites: implications for catalytic residue identification","volume":"6","author":"Buslje","year":"2010","journal-title":"PLoS Comput. Biol"},{"key":"2023020205301137400_btx044-B8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM","volume":"2","author":"Chang","year":"2011","journal-title":"A Library for Support Vector Machines, ACM Trans. Intell. Syst. Technol"},{"key":"2023020205301137400_btx044-B9","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1002\/prot.20514","article-title":"Prediction of interface residues in protein\u2013protein complexes by a consensus neural network method: test against NMR data","volume":"61","author":"Chen","year":"2005","journal-title":"Proteins"},{"key":"2023020205301137400_btx044-B10","doi-asserted-by":"crossref","first-page":"402.","DOI":"10.1186\/1471-2105-11-402","article-title":"Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information","volume":"11","author":"Chen","year":"2010","journal-title":"BMC Bioinformatics"},{"key":"2023020205301137400_btx044-B11","doi-asserted-by":"crossref","first-page":"394","DOI":"10.2174\/138920308785132712","article-title":"How proteins get in touch: interface prediction in the study of biomolecular complexes","volume":"9","author":"De Vries","year":"2008","journal-title":"Curr. Protein Pept. Sci"},{"key":"2023020205301137400_btx044-B12","doi-asserted-by":"crossref","first-page":"277.","DOI":"10.1186\/1471-2105-15-277","article-title":"CRF-based models of protein surfaces improve protein\u2013protein interaction site predictions","volume":"15","author":"Dong","year":"2014","journal-title":"BMC Bioinformatics"},{"key":"2023020205301137400_btx044-B13","doi-asserted-by":"crossref","first-page":"012707.","DOI":"10.1103\/PhysRevE.87.012707","article-title":"Improved contact prediction in proteins: using pseudolikelihoods to infer Potts models","volume":"87","author":"Ekeberg","year":"2013","journal-title":"Phys. Rev. E"},{"key":"2023020205301137400_btx044-B14","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1093\/bib\/bbv027","article-title":"Progress and challenges in predicting protein interfaces","volume":"17","author":"Esmaielbeiki","year":"2016","journal-title":"Brief. Bioinform"},{"key":"2023020205301137400_btx044-B15","doi-asserted-by":"crossref","first-page":"1356","DOI":"10.1046\/j.1432-1033.2002.02767.x","article-title":"Prediction of protein\u2013protein interaction sites in heterocomplexes with neural networks","volume":"269","author":"Fariselli","year":"2002","journal-title":"Eur. J. Biochem"},{"key":"2023020205301137400_btx044-B16","doi-asserted-by":"crossref","first-page":"13.","DOI":"10.1186\/1748-7188-4-13","article-title":"Grammatical-restrained hidden conditional random fields for bioinformatics applications","volume":"4","author":"Fariselli","year":"2009","journal-title":"Algorithms Mol. Biol"},{"key":"2023020205301137400_btx044-B17","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1006\/jmbi.2000.4092","article-title":"A fast method to predict protein interaction sites from sequences","volume":"302","author":"Gallet","year":"2000","journal-title":"J. Mol. Biol"},{"key":"2023020205301137400_btx044-B59","doi-asserted-by":"crossref","first-page":"e03430","DOI":"10.7554\/eLife.03430","article-title":"Sequence co-evolution gives 3D contacts and structures of protein complexes","volume":"3","author":"Hopf","year":"2014","journal-title":"eLife"},{"key":"2023020205301137400_btx044-B18","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.gene.2008.06.014","article-title":"Using binding site to improve protein\u2013protein docking","volume":"1-2","author":"Huang","year":"2008","journal-title":"Gene"},{"key":"2023020205301137400_btx044-B19","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1093\/bioinformatics\/btt089","article-title":"The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields","volume":"29","author":"Indio","year":"2013","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B20","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1093\/bioinformatics\/btr638","article-title":"PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments","volume":"28","author":"Jones","year":"2012","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B21","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1006\/jmbi.1997.1233","article-title":"Prediction of protein\u2013protein interaction sites using patch analysis","volume":"272","author":"Jones","year":"1997","journal-title":"J. Mol. Biol"},{"key":"2023020205301137400_btx044-B22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1471-2105-13-41","article-title":"Predicting protein\u2013protein interface residues using local surface structural similarity","volume":"13","author":"Jordan","year":"2012","journal-title":"BMC Bioinformatics"},{"key":"2023020205301137400_btx044-B23","doi-asserted-by":"crossref","first-page":"2577","DOI":"10.1002\/bip.360221211","article-title":"Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features","volume":"22","author":"Kabsch","year":"1983","journal-title":"Biopolymers"},{"key":"2023020205301137400_btx044-B24","doi-asserted-by":"crossref","first-page":"15674","DOI":"10.1073\/pnas.1314045110","article-title":"Assessing the utility of coevolution-based residue-residue contact predictions in a sequence-and-structure-rich era","volume":"110","author":"Kamisetty","year":"2013","journal-title":"PNAS"},{"key":"2023020205301137400_btx044-B25","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1007\/BF01025492","article-title":"Statistical analysis of the physical properties of the 20 naturally occurring amino acids","volume":"4","author":"Kidera","year":"1985","journal-title":"J. Protein Chem"},{"key":"2023020205301137400_btx044-B26","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1093\/protein\/gzh020","article-title":"Prediction of protein\u2013protein interaction sites using support vector machines","volume":"17","author":"Koike","year":"2004","journal-title":"Protein Eng. Des. Sel"},{"key":"2023020205301137400_btx044-B27","first-page":"282","article-title":"Conditional random fields: probabilistic models for segmenting and labeling sequence data","author":"Lafferty","year":"2001","journal-title":"Proceedings of the ICML01"},{"key":"2023020205301137400_btx044-B28","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1093\/bioinformatics\/btl660","article-title":"Protein\u2013protein interaction site prediction based on conditional random fields","volume":"23","author":"Li","year":"2007","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B29","doi-asserted-by":"crossref","first-page":"e43927.","DOI":"10.1371\/journal.pone.0043927","article-title":"Prediction of protein\u2013protein interaction sites by random forest algorithm with mRMR and IFS","volume":"77","author":"Li","year":"2012","journal-title":"PLoS One"},{"key":"2023020205301137400_btx044-B30","doi-asserted-by":"crossref","first-page":"553.","DOI":"10.1186\/1471-2105-9-553","article-title":"Prediction of protein\u2013protein binding site by using core interface residue and support vector machine","volume":"9","author":"Li","year":"2008","journal-title":"BMC Bioinformatics"},{"key":"2023020205301137400_btx044-B31","doi-asserted-by":"crossref","first-page":"381.","DOI":"10.1186\/1471-2105-10-381","article-title":"Prediction of protein binding sites in protein structures using hidden Markov support vector machine","volume":"10","author":"Liu","year":"2009","journal-title":"BMC Bioinformatics"},{"key":"2023020205301137400_btx044-B32","doi-asserted-by":"crossref","first-page":"e28766.","DOI":"10.1371\/journal.pone.0028766","article-title":"Protein 3D structure computed from evolutionary sequence variation","volume":"6","author":"Marks","year":"2011","journal-title":"PLoS One"},{"key":"2023020205301137400_btx044-B33","doi-asserted-by":"crossref","first-page":"21.","DOI":"10.1186\/1472-6807-8-21","article-title":"PSAIA \u2013 protein structure and interaction analyzer","volume":"8","author":"Mihel","year":"2008","journal-title":"BMC Struct. Biol"},{"key":"2023020205301137400_btx044-B34","doi-asserted-by":"crossref","first-page":"E1293","DOI":"10.1073\/pnas.1111471108","article-title":"Direct-coupling analysis of residue coevolution captures native contacts across many protein families","volume":"108","author":"Morcos","year":"2011","journal-title":"PNAS"},{"key":"2023020205301137400_btx044-B35","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1093\/bioinformatics\/btl303","article-title":"ISIS: interaction sites identified from sequence","volume":"23","author":"Ofran","year":"2007","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B60","doi-asserted-by":"crossref","first-page":"e02030","DOI":"10.7554\/eLife.02030","article-title":"Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information","volume":"3","author":"Ovchinnikov","year":"2014","journal-title":"eLife"},{"key":"2023020205301137400_btx044-B36","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1006\/jmbi.1997.1198","article-title":"Correlated mutations contain information about protein\u2013protein interaction","volume":"271","author":"Pazos","year":"1997","journal-title":"J. Mol. Biol"},{"key":"2023020205301137400_btx044-B37","doi-asserted-by":"crossref","first-page":"980","DOI":"10.1093\/bioinformatics\/18.7.980","article-title":"CX, an algorithm that identifies protruding atoms in proteins","volume":"18","author":"Pintar","year":"2002","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B38","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1093\/bioinformatics\/19.2.313","article-title":"DPX: for the analysis of protein core","volume":"19","author":"Pintar","year":"2003","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B39","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1002\/prot.21248","article-title":"Prediction-based fingerprints of protein\u2013protein interactions","volume":"66","author":"Porollo","year":"2007","journal-title":"Proteins: Struct. Funct. Genet"},{"key":"2023020205301137400_btx044-B40","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1002\/prot.340200303","article-title":"Conservation and prediction of solvent accessibility in protein families","volume":"20","author":"Rost","year":"1993","journal-title":"Proteins"},{"key":"2023020205301137400_btx044-B41","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1038\/nmeth.1818","article-title":"HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment","volume":"9","author":"Remmert","year":"2011","journal-title":"Nat. Methods"},{"key":"2023020205301137400_btx044-B42","doi-asserted-by":"crossref","first-page":"2496","DOI":"10.1093\/bioinformatics\/bti340","article-title":"An evolution based classifier for prediction of protein interfaces without using protein structures","volume":"21","author":"Res","year":"2005","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B43","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1002\/prot.340090107","article-title":"Database of homology-derived protein structures and the structural meaning of sequence alignment","volume":"9","author":"Sander","year":"1991","journal-title":"Proteins"},{"key":"2023020205301137400_btx044-B44","doi-asserted-by":"crossref","first-page":"2224","DOI":"10.1093\/bioinformatics\/btr387","article-title":"Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization","volume":"27","author":"Savojardo","year":"2011","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B45","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1007\/978-3-642-35686-5_11","volume-title":"Computational Intelligence Methods for Bioinformatics and Biostatistics","author":"Savojardo","year":"2012"},{"key":"2023020205301137400_btx044-B46","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1093\/bioinformatics\/bts728","article-title":"BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes","volume":"29","author":"Savojardo","year":"2013","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B47","doi-asserted-by":"crossref","first-page":"e1000278.","DOI":"10.1371\/journal.pcbi.1000278","article-title":"Prediction of protein\u2013protein interaction sites in sequences and 3D structures by random forests","volume":"5","author":"Siki\u0107","year":"2009","journal-title":"PLoS Comput. Biol"},{"key":"2023020205301137400_btx044-B48","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.pbiomolbio.2014.07.004","article-title":"An overview of recent advances in structural bioinformatics of protein\u2013protein interactions and a guide to their principles","volume":"116","author":"Sudha","year":"2014","journal-title":"Prog. Biophys. Mol. Biol"},{"key":"2023020205301137400_btx044-B49","doi-asserted-by":"crossref","first-page":"926","DOI":"10.1093\/bioinformatics\/btu739","article-title":"UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches","volume":"31","author":"Suzek","year":"2015","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B50","doi-asserted-by":"crossref","first-page":"12091","DOI":"10.1073\/pnas.91.25.12091","article-title":"Detection of conserved segments in proteins: iterative scanning of sequence databases with alignment blocks","volume":"91","author":"Tatusov","year":"1994","journal-title":"PNAS"},{"key":"2023020205301137400_btx044-B51","doi-asserted-by":"crossref","first-page":"3031","DOI":"10.1016\/j.jmb.2015.07.016","article-title":"Updates to the Integrated Protein\u2013Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2","volume":"427","author":"Vreven","year":"2015","journal-title":"J. Mol. Biol"},{"key":"2023020205301137400_btx044-B52","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1073\/pnas.0805923106","article-title":"Identification of direct residue contacts in protein\u2013protein interaction by message passing","volume":"106","author":"Weigt","year":"2009","journal-title":"PNAS"},{"key":"2023020205301137400_btx044-B53","doi-asserted-by":"crossref","first-page":"244.","DOI":"10.1186\/1471-2105-12-244","article-title":"HomPPI: a class of sequence homology based protein\u2013protein interface prediction methods","volume":"12","author":"Xue","year":"2011","journal-title":"BMC Bioinformatics"},{"key":"2023020205301137400_btx044-B54","doi-asserted-by":"crossref","first-page":"3516","DOI":"10.1016\/j.febslet.2015.10.003","article-title":"Computational prediction of protein interfaces: a review of data driven methods","volume":"589","author":"Xue","year":"2015","journal-title":"FEBS Lett"},{"key":"2023020205301137400_btx044-B55","doi-asserted-by":"crossref","first-page":"i371","DOI":"10.1093\/bioinformatics\/bth920","article-title":"A two-stage classifier for identification of protein\u2013protein interface residues","volume":"20","author":"Yan","year":"2004","journal-title":"Bioinformatics"},{"key":"2023020205301137400_btx044-B56","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1002\/(SICI)1097-0134(19990201)34:2<220::AID-PROT7>3.0.CO;2-K","article-title":"A modified definition of Sov, a segment-based measure for protein secondary structure prediction assessment","volume":"34","author":"Zemla","year":"1999","journal-title":"Proteins: Struct. Funct. Genet"},{"key":"2023020205301137400_btx044-B57","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1093\/nar\/gkr311","article-title":"PredUs: a web server for predicting protein interfaces using structural neighbors","volume":"39","author":"Zhang","year":"2011","journal-title":"Nucleic Acids Res"},{"key":"2023020205301137400_btx044-B58","doi-asserted-by":"crossref","first-page":"2203","DOI":"10.1093\/bioinformatics\/btm323","article-title":"Interaction-site prediction for protein complexes: a critical assessment","volume":"23","author":"Zhou","year":"2007","journal-title":"Bioinformatics"}],"container-title":["Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/33\/11\/1656\/49039742\/bioinformatics_33_11_1656.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/33\/11\/1656\/49039742\/bioinformatics_33_11_1656.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T05:31:34Z","timestamp":1675315894000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/bioinformatics\/article\/33\/11\/1656\/2953248"}},"subtitle":[],"editor":[{"given":"Anna","family":"Tramontano","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2017,1,25]]},"references-count":60,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2017,6,1]]}},"URL":"https:\/\/doi.org\/10.1093\/bioinformatics\/btx044","relation":{},"ISSN":["1367-4803","1367-4811"],"issn-type":[{"value":"1367-4803","type":"print"},{"value":"1367-4811","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2017,6,1]]},"published":{"date-parts":[[2017,1,25]]}}}