{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:12:23Z","timestamp":1775578343650,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":31,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819947485","type":"print"},{"value":"9789819947492","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-981-99-4749-2_35","type":"book-chapter","created":{"date-parts":[[2023,7,29]],"date-time":"2023-07-29T23:02:17Z","timestamp":1690671737000},"page":"405-415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6108-1858","authenticated-orcid":false,"given":"Dongdong","family":"Mao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5801-3320","authenticated-orcid":false,"given":"Cong","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9229-3819","authenticated-orcid":false,"given":"Ruilin","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuyang","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yankai","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinxuan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6377-536X","authenticated-orcid":false,"given":"Jijun","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7034-8657","authenticated-orcid":false,"given":"Zhijun","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,30]]},"reference":[{"issue":"7414","key":"35_CR1","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1038\/nature11233","volume":"489","author":"S Djebali","year":"2012","unstructured":"Djebali, S., et al.: Landscape of transcription in human cells. Nature 489(7414), 101\u2013108 (2012)","journal-title":"Nature"},{"issue":"2","key":"35_CR2","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1038\/s41580-020-00315-9","volume":"22","author":"L Statello","year":"2021","unstructured":"Statello, L., Guo, C.-J., Chen, L.-L., Huarte, M.: Gene regulation by long non-coding RNAs and its biological functions. Nat. Rev. Mol. Cell Biol. 22(2), 96\u2013118 (2021)","journal-title":"Nat. Rev. Mol. Cell Biol."},{"issue":"2","key":"35_CR3","first-page":"111","volume":"5","author":"M Derrigo","year":"2000","unstructured":"Derrigo, M., Cestelli, A., Savettieri, G., Di Liegro, I.: RNA-protein interactions in the control of stability and localization of messenger RNA. Int. J. Mol. Med. 5(2), 111\u2013134 (2000)","journal-title":"Int. J. Mol. Med."},{"issue":"8","key":"35_CR4","doi-asserted-by":"publisher","first-page":"1895","DOI":"10.1016\/j.biocel.2013.05.030","volume":"45","author":"CH Li","year":"2013","unstructured":"Li, C.H., Chen, H.: Targeting long non-coding RNAs in cancers: progress and prospects. Int. J. Biochem. Cell Biol. 45(8), 1895\u20131910 (2013)","journal-title":"Int. J. Biochem. Cell Biol."},{"issue":"1","key":"35_CR5","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1093\/bib\/bbv031","volume":"17","author":"F Ferre","year":"2016","unstructured":"Ferre, F., Colantoni, A., Helmer-Citterich, M.: Revealing protein\u2013lncRNA interaction. Brief. Bioinform. 17(1), 106\u2013116 (2016)","journal-title":"Brief. Bioinform."},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Li, S., et al.: Long noncoding RNA HOTAIR interacts with Y-Box Protein-1 (YBX1) to regulate cell proliferation. Life Sci. Alliance 4(9) (2021)","DOI":"10.26508\/lsa.202101139"},{"key":"35_CR7","doi-asserted-by":"crossref","unstructured":"Tu, Y., et al.: LncRNA-WAKMAR2 regulates expression of CLDN1 to affect skin barrier through recruiting c-Fos. Contact Dermat. (2022)","DOI":"10.1111\/cod.14256"},{"issue":"12","key":"35_CR8","first-page":"11","volume":"18","author":"X Zheng","year":"2017","unstructured":"Zheng, X., et al.: Fusing multiple protein-protein similarity networks to effectively predict lncRNA-protein interactions. BMC Bioinform. 18(12), 11\u201318 (2017)","journal-title":"BMC Bioinform."},{"key":"35_CR9","doi-asserted-by":"publisher","first-page":"526","DOI":"10.1016\/j.neucom.2017.07.065","volume":"273","author":"W Zhang","year":"2018","unstructured":"Zhang, W., Qu, Q., Zhang, Y., Wang, W.: The linear neighborhood propagation method for predicting long non-coding RNA\u2013protein interactions. Neurocomputing 273, 526\u2013534 (2018)","journal-title":"Neurocomputing"},{"key":"35_CR10","doi-asserted-by":"publisher","first-page":"13486","DOI":"10.1109\/ACCESS.2019.2894225","volume":"7","author":"C Shen","year":"2019","unstructured":"Shen, C., Ding, Y., Tang, J., Jiang, L., Guo, F.: LPI-KTASLP: prediction of lncRNA-protein interaction by semi-supervised link learning with multivariate information. IEEE Access 7, 13486\u201313496 (2019)","journal-title":"IEEE Access"},{"key":"35_CR11","doi-asserted-by":"publisher","first-page":"716","DOI":"10.3389\/fgene.2018.00716","volume":"9","author":"C Shen","year":"2019","unstructured":"Shen, C., Ding, Y., Tang, J., Guo, F.: Multivariate information fusion with fast kernel learning to kernel ridge regression in predicting lncRNA-protein interactions. Front. Genet. 9, 716 (2019)","journal-title":"Front. Genet."},{"issue":"1","key":"35_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-021-04399-8","volume":"22","author":"L Zhou","year":"2021","unstructured":"Zhou, L., Wang, Z., Tian, X., Peng, L.: LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA\u2013protein interaction identification. BMC Bioinf. 22(1), 1\u201324 (2021)","journal-title":"BMC Bioinf."},{"key":"35_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/978-3-030-91415-8_20","volume-title":"Bioinformatics Research and Applications","author":"W Li","year":"2021","unstructured":"Li, W., Wang, S., Guo, H.: LPI-FKLGCN: predicting LncRNA-protein interactions through fast kernel learning and graph convolutional network. In: Wei, Y., Li, M., Skums, P., Cai, Z. (eds.) ISBRA 2021. LNCS, vol. 13064, pp. 227\u2013238. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-91415-8_20"},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Jin, C., Shi, Z., Zhang, H., Yin, Y.: Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training. In: BIBM, pp. 38\u201343 (2021)","DOI":"10.1109\/BIBM52615.2021.9669316"},{"key":"35_CR15","doi-asserted-by":"publisher","first-page":"107718","DOI":"10.1016\/j.compbiolchem.2022.107718","volume":"99","author":"X Huang","year":"2022","unstructured":"Huang, X., Shi, Y., Yan, J., Wenyan, Q., Li, X., Tan, J.: LPI-CSFFR: combining serial fusion with feature reuse for predicting LncRNA-protein interactions. Comput. Biol. Chem. 99, 107718 (2022)","journal-title":"Comput. Biol. Chem."},{"key":"35_CR16","doi-asserted-by":"crossref","unstructured":"Yuan, J., Wu, W., Xie, C., Zhao, G., Zhao, Y., Chen, R.: NPInter v2. 0: an updated database of ncRNA interactions. Nucleic Acids Res. 42(D1), D104\u2013D108 (2014)","DOI":"10.1093\/nar\/gkt1057"},{"issue":"D1","key":"35_CR17","doi-asserted-by":"publisher","first-page":"D98","DOI":"10.1093\/nar\/gkt1222","volume":"42","author":"C Xie","year":"2014","unstructured":"Xie, C., et al.: NONCODEv4: exploring the world of long non-coding RNA genes. Nucleic Acids Res. 42(D1), D98\u2013D103 (2014)","journal-title":"Nucleic Acids Res."},{"issue":"4","key":"35_CR18","doi-asserted-by":"publisher","first-page":"903","DOI":"10.1006\/jmbi.2001.5080","volume":"313","author":"J Gough","year":"2001","unstructured":"Gough, J., Karplus, K., Hughey, R., Chothia, C.: Assignment of homology to genome sequences using a library of hidden Markov models that represent all proteins of known structure. J. Mol. Biol. 313(4), 903\u2013919 (2001)","journal-title":"J. Mol. Biol."},{"issue":"13","key":"35_CR19","doi-asserted-by":"publisher","first-page":"i232","DOI":"10.1093\/bioinformatics\/btn162","volume":"24","author":"Y Yamanishi","year":"2008","unstructured":"Yamanishi, Y., Araki, M., Gutteridge, A., Honda, W., Kanehisa, M.: Prediction of drug\u2013target interaction networks from the integration of chemical and genomic spaces. Bioinformatics 24(13), i232\u2013i240 (2008)","journal-title":"Bioinformatics"},{"issue":"10","key":"35_CR20","doi-asserted-by":"publisher","first-page":"1623","DOI":"10.3390\/ijms17101623","volume":"17","author":"Y Ding","year":"2016","unstructured":"Ding, Y., Tang, J., Guo, F.: Identification of protein\u2013protein interactions via a novel matrix-based sequence representation model with amino acid contact information. Int. J. Mol. Sci. 17(10), 1623 (2016)","journal-title":"Int. J. Mol. Sci."},{"issue":"1","key":"35_CR21","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/0022-2836(81)90087-5","volume":"147","author":"TF Smith","year":"1981","unstructured":"Smith, T.F., Waterman, M.S.: Identification of common molecular subsequences. J. Mol. Biol. 147(1), 195\u2013197 (1981)","journal-title":"J. Mol. Biol."},{"issue":"11","key":"35_CR22","doi-asserted-by":"publisher","first-page":"4337","DOI":"10.1073\/pnas.0607879104","volume":"104","author":"J Shen","year":"2007","unstructured":"Shen, J., et al.: Predicting protein\u2013protein interactions based only on sequences information. Proc. Natl. Acad. Sci. U.S.A. 104(11), 4337\u20134341 (2007)","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"issue":"2","key":"35_CR23","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1016\/j.bbrc.2007.06.027","volume":"360","author":"K-C Chou","year":"2007","unstructured":"Chou, K.-C., Shen, H.-B.: MemType-2L: a web server for predicting membrane proteins and their types by incorporating evolution information through Pse-PSSM. Biochem. Biophys. Res. Commun. 360(2), 339\u2013345 (2007)","journal-title":"Biochem. Biophys. Res. Commun."},{"key":"35_CR24","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.jtbi.2013.01.012","volume":"323","author":"S Wan","year":"2013","unstructured":"Wan, S., Mak, M.-W., Kung, S.-Y.: GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou\u2019s pseudo-amino acid composition. J. Theor. Biol. 323, 40\u201348 (2013)","journal-title":"J. Theor. Biol."},{"key":"35_CR25","unstructured":"Welling, M., Kipf, T.N.: Semi-supervised classification with graph convolutional networks. In: ICLR (2016)"},{"key":"35_CR26","unstructured":"Kipf, T.N., Welling, M.: Variational graph auto-encoders. arXiv preprint arXiv:1611.07308 (2016)"},{"issue":"21","key":"35_CR27","doi-asserted-by":"publisher","first-page":"3036","DOI":"10.1093\/bioinformatics\/btr500","volume":"27","author":"T Van Laarhoven","year":"2011","unstructured":"Van Laarhoven, T., Nabuurs, S.B., Marchiori, E.: Gaussian interaction profile kernels for predicting drug\u2013target interaction. Bioinformatics 27(21), 3036\u20133043 (2011)","journal-title":"Bioinformatics"},{"key":"35_CR28","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, R.: Item-based collaborative filtering recommendation algorithms. In: WWW, pp. 285\u2013295 (2001)","DOI":"10.1145\/371920.372071"},{"issue":"12","key":"35_CR29","doi-asserted-by":"publisher","first-page":"e114662","DOI":"10.1371\/journal.pone.0114662","volume":"9","author":"M Gan","year":"2014","unstructured":"Gan, M.: Walking on a user similarity network towards personalized recommendations. PLoS ONE 9(12), e114662 (2014)","journal-title":"PLoS ONE"},{"issue":"1","key":"35_CR30","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.gpb.2016.01.004","volume":"14","author":"M Ge","year":"2016","unstructured":"Ge, M., Li, A., Wang, M.: A bipartite network-based method for prediction of long non-coding RNA\u2013protein interactions. Genomics Proteomics Bioinf. 14(1), 62\u201371 (2016)","journal-title":"Genomics Proteomics Bioinf."},{"key":"35_CR31","doi-asserted-by":"crossref","unstructured":"Li, A., Ge, M., Zhang, Y., Peng, C., Wang, M.: Predicting long noncoding RNA and protein interactions using heterogeneous network model. BioMed. Res. Int. 671950 (2015)","DOI":"10.1155\/2015\/671950"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-99-4749-2_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T06:06:11Z","timestamp":1693548371000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-99-4749-2_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9789819947485","9789819947492"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-981-99-4749-2_35","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"30 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2023a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2023\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}