{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T19:05:39Z","timestamp":1783969539734,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":25,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234974","type":"print"},{"value":"9789819234981","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"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":[[2027]]},"DOI":"10.1007\/978-981-92-3498-1_10","type":"book-chapter","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T18:45:16Z","timestamp":1783968316000},"page":"111-122","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["SLdGNN: Synthetic Lethality Prediction Based on Multi-Source Data and Dual-Graph Neural Networks"],"prefix":"10.1007","author":[{"given":"Luhan","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruinan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junyi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,14]]},"reference":[{"issue":"1","key":"10_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.febslet.2010.11.024","volume":"585","author":"SM Nijman","year":"2011","unstructured":"Nijman, S.M.: Synthetic lethality: general principles, utility and detection using genetic screens in human cells. FEBS Lett. 585(1), 1\u20136 (2011)","journal-title":"FEBS Lett."},{"issue":"7035","key":"10_CR2","doi-asserted-by":"publisher","first-page":"913","DOI":"10.1038\/nature03443","volume":"434","author":"HE Bryant","year":"2005","unstructured":"Bryant, H.E., Schultz, N., Thomas, H.D., et al.: Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase. Nature. 434(7035), 913\u2013917 (2005)","journal-title":"Nature"},{"issue":"7035","key":"10_CR3","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1038\/nature03445","volume":"434","author":"H Farmer","year":"2005","unstructured":"Farmer, H., McCabe, N., Lord, C.J., et al.: Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy. Nature. 434(7035), 917\u2013921 (2005)","journal-title":"Nature"},{"key":"10_CR4","doi-asserted-by":"publisher","first-page":"2364","DOI":"10.1126\/science.1065810","volume":"294","author":"AHY Tong","year":"2001","unstructured":"Tong, A.H.Y., Evangelista, M., Parsons, et al.: Systematic genetic analysis with ordered arrays of yeast deletion mutants. Science. 294, 2364\u20132368 (2001)","journal-title":"Science"},{"issue":"5340","key":"10_CR5","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1126\/science.278.5340.1064","volume":"278","author":"LH Hartwell","year":"1997","unstructured":"Hartwell, L.H., Szankasi, P., Roberts, C.J., et al.: Integrating genetic approaches into the discovery of anticancer drugs. Science. 278(5340), 1064\u20131068 (1997)","journal-title":"Science"},{"issue":"7269","key":"10_CR6","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1038\/nature08460","volume":"462","author":"DA Barbie","year":"2009","unstructured":"Barbie, D.A., Tamayo, P., Boehm, J.S., et al.: Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1. Nature. 462(7269), 108\u2013112 (2009)","journal-title":"Nature"},{"issue":"6166","key":"10_CR7","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1126\/science.1246981","volume":"343","author":"T Wang","year":"2014","unstructured":"Wang, T., Wei, J.J., Sabatini, D.M., et al.: Genetic screens in human cells using the CRISPR-Cas9 system. Science. 343(6166), 80\u201384 (2014)","journal-title":"Science"},{"issue":"3","key":"10_CR8","doi-asserted-by":"publisher","first-page":"bbac106","DOI":"10.1093\/bib\/bbac106","volume":"23","author":"J Wang","year":"2022","unstructured":"Wang, J., Zhang, Q., Han, J., et al.: Computational methods, databases and tools for synthetic lethality prediction. Brief. Bioinform. 23(3), bbac106 (2022)","journal-title":"Brief. Bioinform."},{"issue":"5","key":"10_CR9","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1016\/j.cell.2014.07.027","volume":"158","author":"L Jerby-Arnon","year":"2014","unstructured":"Jerby-Arnon, L., Pfetzer, N., Waldman, Y.Y., et al.: Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality. Cell. 158(5), 1199\u20131209 (2014)","journal-title":"Cell"},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"15580","DOI":"10.1038\/ncomms15580","volume":"8","author":"S Sinha","year":"2017","unstructured":"Sinha, S., Thomas, D., Chan, S., et al.: Systematic discovery of mutation-specific synthetic lethals by mining pan-cancer human primary tumor data. Nat. Commun. 8, 15580 (2017)","journal-title":"Nat. Commun."},{"issue":"9","key":"10_CR11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1000928","volume":"6","author":"G Pandey","year":"2010","unstructured":"Pandey, G., Zhang, B., Chang, A.N., et al.: An integrative multi-network and multi-classifier approach to predict genetic interactions. PLoS Comput. Biol. 6(9), e1000928 (2010)","journal-title":"PLoS Comput. Biol."},{"issue":"Suppl. 3","key":"10_CR12","first-page":"71","volume":"13","author":"M Wu","year":"2014","unstructured":"Wu, M., Li, X.J., Zhang, F., et al.: In silico prediction of synthetic lethality by meta-analysis of genetic interactions, functions, and pathways in yeast and human cancer. Cancer Informat. 13(Suppl. 3), 71\u201380 (2014)","journal-title":"Cancer Informat."},{"issue":"1","key":"10_CR13","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1186\/s12943-021-01405-8","volume":"20","author":"S Benfatto","year":"2021","unstructured":"Benfatto, S., et al.: Uncovering cancer vulnerabilities by machine learning prediction of synthetic lethality. Mol. Cancer. 20(1), 111 (2021)","journal-title":"Mol. Cancer"},{"issue":"Suppl. 19","key":"10_CR14","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1186\/s12859-019-3197-3","volume":"20","author":"J Huang","year":"2019","unstructured":"Huang, J., Wu, M., Lu, F., et al.: Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization. BMC Bioinform. 20(Suppl. 19), 657 (2019)","journal-title":"BMC Bioinform."},{"issue":"16","key":"10_CR15","doi-asserted-by":"publisher","first-page":"4458","DOI":"10.1093\/bioinformatics\/btaa211","volume":"36","author":"R Cai","year":"2020","unstructured":"Cai, R., Chen, X., Fang, Y., et al.: Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinformatics. 36(16), 4458\u20134465 (2020)","journal-title":"Bioinformatics"},{"issue":"10","key":"10_CR16","doi-asserted-by":"publisher","first-page":"4041","DOI":"10.1109\/JBHI.2021.3079302","volume":"25","author":"Z Hao","year":"2021","unstructured":"Hao, Z., Wu, D., Fang, Y., et al.: Prediction of synthetic lethal interactions in human cancers using multi-view graph auto-encoder. IEEE J. Biomed. Health Inform. 25(10), 4041\u20134051 (2021)","journal-title":"IEEE J. Biomed. Health Inform."},{"issue":"2","key":"10_CR17","doi-asserted-by":"publisher","first-page":"btad015","DOI":"10.1093\/bioinformatics\/btad015","volume":"39","author":"Y Zhu","year":"2023","unstructured":"Zhu, Y., Zhou, Y., Liu, Y., et al.: SLGNN: synthetic lethality prediction in human cancers based on factor-aware knowledge graph neural network. Bioinformatics. 39(2), btad015 (2023)","journal-title":"Bioinformatics"},{"issue":"Suppl. 1","key":"10_CR18","doi-asserted-by":"publisher","first-page":"i158","DOI":"10.1093\/bioinformatics\/btad261","volume":"39","author":"K Zhang","year":"2023","unstructured":"Zhang, K., Wu, M., Liu, Y., et al.: KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality. Bioinformatics. 39(Suppl. 1), i158\u2013i167 (2023)","journal-title":"Bioinformatics"},{"issue":"2","key":"10_CR19","doi-asserted-by":"publisher","first-page":"bbaf142","DOI":"10.1093\/bib\/bbaf142","volume":"26","author":"X Chen","year":"2025","unstructured":"Chen, X., Cai, R., Huang, Z., et al.: Interpretable high-order knowledge graph neural network for predicting synthetic lethality in human cancers. Brief. Bioinform. 26(2), bbaf142 (2025)","journal-title":"Brief. Bioinform."},{"issue":"6637","key":"10_CR20","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1126\/science.ade2574","volume":"379","author":"Z Lin","year":"2023","unstructured":"Lin, Z., Akin, H., Rao, R., et al.: Evolutionary-scale prediction of atomic-level protein structure with a language model. Science. 379(6637), 1123\u20131130 (2023)","journal-title":"Science"},{"issue":"D1","key":"10_CR21","doi-asserted-by":"publisher","first-page":"D1011","DOI":"10.1093\/nar\/gkv1108","volume":"44","author":"J Guo","year":"2016","unstructured":"Guo, J., Liu, H., Zheng, J.: SynLethDB: synthetic lethality database toward discovery of selective and sensitive anticancer drug targets. Nucleic Acids Res. 44(D1), D1011\u2013D1017 (2016)","journal-title":"Nucleic Acids Res."},{"issue":"D1","key":"10_CR22","doi-asserted-by":"publisher","first-page":"D529","DOI":"10.1093\/nar\/gky1079","volume":"47","author":"R Oughtred","year":"2019","unstructured":"Oughtred, R., Stark, C., Breitkreutz, B.J., et al.: The BioGRID interaction database: 2019 update. Nucleic Acids Res. 47(D1), D529\u2013D541 (2019)","journal-title":"Nucleic Acids Res."},{"issue":"D1","key":"10_CR23","doi-asserted-by":"publisher","first-page":"D587","DOI":"10.1093\/nar\/gkac963","volume":"51","author":"M Kanehisa","year":"2023","unstructured":"Kanehisa, M., Furumichi, M., Sato, Y., et al.: KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Res. 51(D1), D587\u2013D592 (2023)","journal-title":"Nucleic Acids Res."},{"key":"10_CR24","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"M Ashburner","year":"2000","unstructured":"Ashburner, M., Ball, C.A., Blake, J.A., et al.: Gene ontology: tool for the unification of biology. Nat. Genet. 25, 25\u201329 (2000)","journal-title":"Nat. Genet."},{"issue":"D1","key":"10_CR25","doi-asserted-by":"publisher","first-page":"D891","DOI":"10.1093\/nar\/gkad1049","volume":"52","author":"PW Harrison","year":"2024","unstructured":"Harrison, P.W., Amode, M.R., Austine-Orimoloye, O., et al.: Ensembl 2024. Nucleic Acids Res. 52(D1), D891\u2013D899 (2024)","journal-title":"Nucleic Acids Res."}],"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\/978-981-92-3498-1_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T18:45:17Z","timestamp":1783968317000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3498-1_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,14]]},"ISBN":["9789819234974","9789819234981"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3498-1_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,14]]},"assertion":[{"value":"14 July 2026","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":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}