{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T15:43:33Z","timestamp":1762271013879},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2006,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>More and more disordered regions have been discovered in protein sequences, and many of them are found to be functionally significant. Previous studies reveal that disordered regions of a protein can be predicted by its primary structure, the amino acid sequence. One observation that has been widely accepted is that ordered regions usually have compositional bias toward hydrophobic amino acids, and disordered regions are toward charged amino acids. Recent studies further show that employing evolutionary information such as position specific scoring matrices (PSSMs) improves the prediction accuracy of protein disorder. As more and more machine learning techniques have been introduced to protein disorder detection, extracting more useful features with biological insights attracts more attention.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>This paper first studies the effect of a condensed position specific scoring matrix with respect to physicochemical properties (PSSMP) on the prediction accuracy, where the PSSMP is derived by merging several amino acid columns of a PSSM belonging to a certain property into a single column. Next, we decompose each conventional physicochemical property of amino acids into two disjoint groups which have a propensity for order and disorder respectively, and show by experiments that some of the new properties perform better than their parent properties in predicting protein disorder. In order to get an effective and compact feature set on this problem, we propose a hybrid feature selection method that inherits the efficiency of uni-variant analysis and the effectiveness of the stepwise feature selection that explores combinations of multiple features. The experimental results show that the selected feature set improves the performance of a classifier built with Radial Basis Function Networks (RBFN) in comparison with the feature set constructed with PSSMs or PSSMPs that adopt simply the conventional physicochemical properties.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>Distinguishing disordered regions from ordered regions in protein sequences facilitates the exploration of protein structures and functions. Results based on independent testing data reveal that the proposed predicting model DisPSSMP performs the best among several of the existing packages doing similar tasks, without either under-predicting or over-predicting the disordered regions. Furthermore, the selected properties are demonstrated to be useful in finding discriminating patterns for order\/disorder classification.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-7-319","type":"journal-article","created":{"date-parts":[[2006,6,23]],"date-time":"2006-06-23T18:34:29Z","timestamp":1151087669000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":83,"title":["Protein disorder prediction by condensed PSSM considering propensity for order or disorder"],"prefix":"10.1186","volume":"7","author":[{"given":"Chung-Tsai","family":"Su","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chien-Yu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Yen","family":"Ou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2006,6,23]]},"reference":[{"key":"1058_CR1","first-page":"3","volume":"81","author":"AK Dunker","year":"1997","unstructured":"Dunker AK, Obradovic Z, Romero P, Kissinger C, Villafrance E: On the importance of being disordered. PDB Newsletter 1997, 81: 3\u20135.","journal-title":"PDB Newsletter"},{"issue":"6626","key":"1058_CR2","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1038\/386657a0","volume":"386","author":"KW Plaxco","year":"1997","unstructured":"Plaxco KW, Gross M, Cell biology: The importance of being unfolded. Nature 1997, 386(6626):657\u2013659. 10.1038\/386657a0","journal-title":"Nature"},{"issue":"2","key":"1058_CR3","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1006\/jmbi.1999.3110","volume":"293","author":"PE Wright","year":"1999","unstructured":"Wright PE, Dyson HJ: Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm. J Mol Biol 1999, 293(2):321\u2013331. 10.1006\/jmbi.1999.3110","journal-title":"J Mol Biol"},{"key":"1058_CR4","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1016\/j.jmb.2004.02.002","volume":"337","author":"JJ Ward","year":"2004","unstructured":"Ward JJ, Sodhi JS, McGuffin LJ, Buxton BF, Jones DT: Prediction and functional analysis of native disorder in proteins from the three kingdoms of life. J Mol Biol 2004, 337: 635\u2013645. 10.1016\/j.jmb.2004.02.002","journal-title":"J Mol Biol"},{"key":"1058_CR5","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1002\/prot.20279","volume":"58","author":"S Lise","year":"2005","unstructured":"Lise S, Jones DT: Sequence patterns associated with disordered regions in proteins. Proteins 2005, 58: 144\u2013150. 10.1002\/prot.20279","journal-title":"Proteins"},{"key":"1058_CR6","doi-asserted-by":"crossref","unstructured":"Yang ZR, Thomson R, McNeil P, Esnouf RM: RONN: the bio-basis function neural network technique applied to the detection of natively disordered regions in proteins. Bioinformatics Advance Access Published June 9, 2005 June 9, 2005","DOI":"10.1093\/bioinformatics\/bti534"},{"key":"1058_CR7","unstructured":"Schulz GE: Nucleotide binding proteins. Molecular Mechanism of Biological Recognition, Elsevier\/North-Holland Biomedical Press 79\u201394."},{"key":"1058_CR8","first-page":"110","volume":"8","author":"P Romero","year":"1997","unstructured":"Romero P, Obradovic Zoran, Dunker AK: Sequence data analysis for long disordered regions prediction in the Calcineurin family. Genome Informatics 1997, 8: 110\u2013124.","journal-title":"Genome Informatics"},{"key":"1058_CR9","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/j.sbi.2005.01.002","volume":"15","author":"AL Fink","year":"2005","unstructured":"Fink AL: Natively unfolded proteins. Current Opinion in Structural Biology 2005, 15: 35\u201341. 10.1016\/j.sbi.2005.01.002","journal-title":"Current Opinion in Structural Biology"},{"key":"1058_CR10","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1002\/prot.10528","volume":"53","author":"DT Jones","year":"2003","unstructured":"Jones DT, Ward JJ: Prediction of disordered regions in proteins from position specific scoring matrices. Proteins 2003, 53: 573\u2013578. 10.1002\/prot.10528","journal-title":"Proteins"},{"key":"1058_CR11","first-page":"473","volume":"3","author":"AK Dunker","year":"1998","unstructured":"Dunker AK, Garner E, Guilliot S, Romero P, Albercht K, Hart J, Obradovic Z, Kissinger C, Villafranca JE: Protein disorder and the evolution of molecular recognition: theory, predictions and observations. Pac Symp Biocomput 1998, 3: 473\u2013484.","journal-title":"Pac Symp Biocomput"},{"key":"1058_CR12","doi-asserted-by":"publisher","first-page":"6573","DOI":"10.1021\/bi012159+","volume":"41","author":"AK Dunker","year":"2002","unstructured":"Dunker AK, Brown CJ, Lawson JD, Iakoucheva LM, Obradovic Z: Intrinsic disorder and protein function. Biochemistry 2002, 41: 6573\u20136582. 10.1021\/bi012159+","journal-title":"Biochemistry"},{"key":"1058_CR13","first-page":"90","volume":"1","author":"P Romero","year":"1997","unstructured":"Romero P, Obradovic Z, Kissinger C, Villafranca JE, Dunker AK: Identifying disordered regions in proteins from amino acid sequence. Proc IEEE Int Conf Neural Networks 1997, 1: 90\u201395.","journal-title":"Proc IEEE Int Conf Neural Networks"},{"key":"1058_CR14","first-page":"437","volume":"3","author":"P Romero","year":"1998","unstructured":"Romero P, Obradovic Z, Kissinger C, Villafranca JE, Garner E, Guilliiot S, Dunker AK: Thousands of proteins likely to have long disordered regions. Pac Symp Biocomput 1998, 3: 437\u2013448.","journal-title":"Pac Symp Biocomput"},{"key":"1058_CR15","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1002\/prot.10532","volume":"53","author":"Z Obradovic","year":"2003","unstructured":"Obradovic Z, Peng K, Vucetic S, Radivojac P, Brown CJ, Dunker AK: Predicting intrinsic disorder from amino acid sequence. Proteins 2003, 53: 566\u2013572. 10.1002\/prot.10532","journal-title":"Proteins"},{"key":"1058_CR16","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1142\/S0219720005000886","volume":"3","author":"K Peng","year":"2005","unstructured":"Peng K, Vucetic S, Radivojac P, Brown CJ, Dunker AK, Obradovic Z: Optimizing long intrinsic disorder predictiors with protein evolutionary information. Journal of Bioinformatics and Computational Biology 2005, 3: 35\u201360. 10.1142\/S0219720005000886","journal-title":"Journal of Bioinformatics and Computational Biology"},{"key":"1058_CR17","first-page":"41","volume":"10","author":"E Garner","year":"1999","unstructured":"Garner E, Romero P, Dunker AK, Brown C, Obradovic Z: Predicting binding regions within disordered proteins. Genome Informatics 1999, 10: 41\u201350.","journal-title":"Genome Informatics"},{"key":"1058_CR18","doi-asserted-by":"publisher","first-page":"1891","DOI":"10.1093\/bioinformatics\/bti266","volume":"21","author":"K Coeytaux","year":"2005","unstructured":"Coeytaux K, Poupon A: Prediction of unfolded segments in a protein sequence based on amino acid composition. Bioinformatics 2005, 21: 1891\u20131900. 10.1093\/bioinformatics\/bti266","journal-title":"Bioinformatics"},{"key":"1058_CR19","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1002\/1097-0134(20001115)41:3<415::AID-PROT130>3.0.CO;2-7","volume":"41","author":"VN Uversky","year":"2000","unstructured":"Uversky VN, Gillespie JR, Fink AL: Why are \"natively unfolded\" proteins unstructured under physiologic conditions? Proteins 2000, 41: 415\u2013427. 10.1002\/1097-0134(20001115)41:3<415::AID-PROT130>3.0.CO;2-7","journal-title":"Proteins"},{"key":"1058_CR20","first-page":"201","volume":"9","author":"E Garner","year":"1998","unstructured":"Garner E, Cannon P, Romero P, Obradovic Z, Dunker AK: Predicting disordered regions for amino acid sequence: common themes despite differing structural characterization. Genome Inform Ser Workshop Genome Inform 1998, 9: 201\u2013213.","journal-title":"Genome Inform Ser Workshop Genome Inform"},{"key":"1058_CR21","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1002\/1097-0134(20010101)42:1<38::AID-PROT50>3.0.CO;2-3","volume":"42","author":"P Romero","year":"2001","unstructured":"Romero P, Obradovic Z, Li X, Garner EC, Brown CJ, Dunker AK: Sequence complexity of disordered protein. Proteins 2001, 42: 38\u201348. 10.1002\/1097-0134(20010101)42:1<38::AID-PROT50>3.0.CO;2-3","journal-title":"Proteins"},{"key":"1058_CR22","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1002\/prot.10437","volume":"52","author":"S Vucetic","year":"2003","unstructured":"Vucetic S, Brown CJ, Dunker AK, Obradovic Z: Flavors of protein disorder. Proteins 2003, 52: 573\u2013584. 10.1002\/prot.10437","journal-title":"Proteins"},{"key":"1058_CR23","first-page":"30","volume":"10","author":"X Li","year":"1999","unstructured":"Li X, Romero P, Rani M, Dunker AK, Obradovic Z: Predicting protein disorder for N-, C-, and internal regions. Genome Inform Ser Workshop Genome Infor 1999, 10: 30\u201340.","journal-title":"Genome Inform Ser Workshop Genome Infor"},{"key":"1058_CR24","first-page":"P150","volume-title":"Genome Informatics","author":"K Shimizu","year":"2004","unstructured":"Shimizu K, Hirose S, Noguchi T, Muraoka Y: Predicting the protein disordered region using modified position specific scoring matrix. Genome Informatics 2004, P150."},{"key":"1058_CR25","first-page":"216","volume":"8","author":"P Radivojac","year":"2003","unstructured":"Radivojac P, Obradovic Z, Brown CJ, Dunker AK: Prediction of boundaries between intrinsically ordered and disordered protein regions. Pac Symp Biocomput 2003, 8: 216\u2013227.","journal-title":"Pac Symp Biocomput"},{"key":"1058_CR26","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1093\/nar\/28.1.235","volume":"28","author":"HM Berman","year":"2000","unstructured":"Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE: The Protein Data Bank. Nucl Acids Res 2000, 28: 235\u2013242. 10.1093\/nar\/28.1.235","journal-title":"Nucl Acids Res"},{"key":"1058_CR27","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1093\/bioinformatics\/bth476","volume":"21","author":"S Vucetic","year":"2005","unstructured":"Vucetic S, Obradovic Z, Vacic V, Radivojac P, Peng K, Lakoucheva LM, Cortese MS, Lawson JD, Brown CJ, Sikes JG, Newton CD, Dunker AK: DisProt: a database of protein disorder. Bioinformatics 2005, 21: 137\u2013140. 10.1093\/bioinformatics\/bth476","journal-title":"Bioinformatics"},{"key":"1058_CR28","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1093\/bioinformatics\/17.3.282","volume":"17","author":"W Li","year":"2001","unstructured":"Li W, Jaroszewski L, Godzik A: Clustering of highly homologous sequences to reduce the size of large protein databases. Bioinformatics 2001, 17: 282\u2013283. 10.1093\/bioinformatics\/17.3.282","journal-title":"Bioinformatics"},{"key":"1058_CR29","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1093\/bioinformatics\/18.1.77","volume":"18","author":"W Li","year":"2002","unstructured":"Li W, Jaroszewski L, Godzik A: Tolerating some redundancy significantly speeds up clustering of large proteins databases. Bioinformatics 2002, 18: 77\u201382. 10.1093\/bioinformatics\/18.1.77","journal-title":"Bioinformatics"},{"key":"1058_CR30","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1002\/prot.10533","volume":"53","author":"E Melamud","year":"2003","unstructured":"Melamud E, Moult J: Evaluation of disorder predictions in CASP5. Proteins 2003, 53: 561\u2013565. 10.1002\/prot.10533","journal-title":"Proteins"},{"key":"1058_CR31","volume-title":"Proteins","author":"Y Jin","year":"2005","unstructured":"Jin Y, Dunbrack RL: Assessment of disorder predictions in CASP6. Proteins 2005. Early View Early View"},{"key":"1058_CR32","doi-asserted-by":"publisher","first-page":"2138","DOI":"10.1093\/bioinformatics\/bth195","volume":"20","author":"JJ Ward","year":"2004","unstructured":"Ward JJ, McGuffin LJ, Bryson K, Buxton BF, Jones DT: The DISOPRED server for the prediction of protein disorder. Bioinformatics 2004, 20: 2138\u20132139. 10.1093\/bioinformatics\/bth195","journal-title":"Bioinformatics"},{"key":"1058_CR33","first-page":"2370","volume":"21","author":"Q Zhang","year":"2005","unstructured":"Zhang Q, Yoon S, Welsh WJ: Improved method for predicting \u03b2-turn using support vector machine. Proteins 2005, 21: 2370\u20132374.","journal-title":"Proteins"},{"key":"1058_CR34","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1002\/prot.20079","volume":"55","author":"YC Chen","year":"2004","unstructured":"Chen YC, Lin YS, Line CJ, Hwang JK: Prediction of the bonding states of cysteines Using the support vector machines based on multiple feature vectors and cysteine state sequences. Proteins 2004, 55: 1036\u20131042. 10.1002\/prot.20079","journal-title":"Proteins"},{"key":"1058_CR35","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1002\/prot.20092","volume":"56","author":"NK Natt","year":"2004","unstructured":"Natt NK, Kaur H, Raghava GPS: Prediction of transmembrane regions of \u03b2-barrel proteins using ANN- and SVM-based methods. Proteins 2004, 56: 11\u201318. 10.1002\/prot.20092","journal-title":"Proteins"},{"key":"1058_CR36","doi-asserted-by":"publisher","first-page":"3433","DOI":"10.1093\/bioinformatics\/bti541","volume":"21","author":"Z Doszt\u00e1nyi","year":"2005","unstructured":"Doszt\u00e1nyi Z, Csizmok V, Tompa, Simon I: IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content. Bioinformatics 2005, 21: 3433\u20133434. 10.1093\/bioinformatics\/bti541","journal-title":"Bioinformatics"},{"key":"1058_CR37","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1016\/j.jmb.2005.01.071","volume":"347","author":"Z Doszt\u00e1nyi","year":"2005","unstructured":"Doszt\u00e1nyi Z, Csizmok V, Tompa, Simon I: The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins. J Mol Biol 2005, 347: 827\u2013839. 10.1016\/j.jmb.2005.01.071","journal-title":"J Mol Biol"},{"key":"1058_CR38","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s10618-005-0001-y","volume":"11","author":"J Cheng","year":"2005","unstructured":"Cheng J, Sweredoski MJ, Baldi P: Accurate prediction of protein disordered regions by mining protein structure data. Data Mining and Knowledge Discovery 2005, 11: 213\u2013222. 10.1007\/s10618-005-0001-y","journal-title":"Data Mining and Knowledge Discovery"},{"key":"1058_CR39","doi-asserted-by":"publisher","first-page":"1453","DOI":"10.1016\/j.str.2003.10.002","volume":"11","author":"R Linding","year":"2003","unstructured":"Linding R, Jensen LJ, Diella F, Bork P, Gibson TJ, Russell RB: Protein disorder prediction: implications of structural proteomics. Structure (Camb) 2003, 11: 1453\u20131459. 10.1016\/j.str.2003.10.002","journal-title":"Structure (Camb)"},{"key":"1058_CR40","doi-asserted-by":"publisher","first-page":"3435","DOI":"10.1093\/bioinformatics\/bti537","volume":"21","author":"J Prilusky","year":"2005","unstructured":"Prilusky J, Felder CE, Zeev-BenMordehai T, Rydberg EH, Man O, Beckmann JS, Silman I, Summan JL: FoldIndex\n                    \u00a9\n                  : a simple tool to predict whether a given protein sequence is intrinsically unfolded. Bioinformatics 2005, 21: 3435\u20133438. 10.1093\/bioinformatics\/bti537","journal-title":"Bioinformatics"},{"key":"1058_CR41","doi-asserted-by":"publisher","first-page":"3701","DOI":"10.1093\/nar\/gkg519","volume":"31","author":"R Linding","year":"2003","unstructured":"Linding R, Russell RB, Neduva V, Gibson TJ: GlobPlot: exploring protein sequences for globularity and disorder. Nucl Acids Res 2003, 31: 3701\u20133708. 10.1093\/nar\/gkg519","journal-title":"Nucl Acids Res"},{"key":"1058_CR42","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/S0065-3233(02)62004-2","volume":"62","author":"AK Dunker","year":"2002","unstructured":"Dunker AK, Brown CJ, Obradovic Z: Identification and functions of usefully disordered proteins. Adv Protein Chem 2002, 62: 25\u201349.","journal-title":"Adv Protein Chem"},{"issue":"7","key":"1058_CR43","doi-asserted-by":"publisher","first-page":"3389","DOI":"10.1093\/nar\/25.17.3389","volume":"25","author":"SF Altschul","year":"1997","unstructured":"Altschul SF, Madden TL, Schaeffer AA, Zhang J, Zhang Z, Miller W, Lipman DJ: Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. Nucl Acids Res 1997, 25(7):3389\u20133402. 10.1093\/nar\/25.17.3389","journal-title":"Nucl Acids Res"},{"key":"1058_CR44","doi-asserted-by":"publisher","first-page":"2370","DOI":"10.1093\/bioinformatics\/bti358","volume":"21","author":"Q Zhang","year":"2005","unstructured":"Zhang Q, Yoon S, Welsh WJ: Improved method for predicting \u03b2-turn using support vector machine. Bioinformatics 2005, 21: 2370\u20132374. 10.1093\/bioinformatics\/bti358","journal-title":"Bioinformatics"},{"key":"1058_CR45","unstructured":"Chemical classifications[http:\/\/prowl.rockefeller.edu\/aainfo\/pchem.htm]"},{"key":"1058_CR46","unstructured":"QuickRBF[http:\/\/muse.csie.ntu.edu.tw\/~yien\/quickrbf\/index.php]"},{"key":"1058_CR47","first-page":"P121","volume-title":"Machine Learning: Proceedings of the Eleventh International Conference, Morgan Kaufmann","author":"GH John","year":"1994","unstructured":"John GH, Kohavi R, Pfleger K: Irrelevant features and the subset selection problem. Machine Learning: Proceedings of the Eleventh International Conference, Morgan Kaufmann 1994, P121\u2013129."},{"key":"1058_CR48","first-page":"P147","volume-title":"ICMLA International Conference on Machine Learning and Application, Las Vegas City, USA","author":"O Boz","year":"2002","unstructured":"Boz O: Feature subset selection by using sorted feature relevance. ICMLA International Conference on Machine Learning and Application, Las Vegas City, USA 2002, P147\u2013153."}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/1471-2105-7-319.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T03:19:04Z","timestamp":1630466344000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/1471-2105-7-319"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,6,23]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2006,12]]}},"alternative-id":["1058"],"URL":"https:\/\/doi.org\/10.1186\/1471-2105-7-319","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,6,23]]},"assertion":[{"value":"26 February 2006","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 June 2006","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 June 2006","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"319"}}