{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T07:32:43Z","timestamp":1784359963632,"version":"3.55.0"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T00:00:00Z","timestamp":1616544000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T00:00:00Z","timestamp":1616544000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Postgraduate Student Education Reform Research and Practice Funds","award":["2019YJSJG045"],"award-info":[{"award-number":["2019YJSJG045"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971422"],"award-info":[{"award-number":["61971422"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31871337"],"award-info":[{"award-number":["31871337"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p>Recent studies have confirmed that N7-methylguanosine (m<jats:sup>7<\/jats:sup>G) modification plays an important role in regulating various biological processes and has associations with multiple diseases. Wet-lab experiments are cost and time ineffective for the identification of disease-associated m<jats:sup>7<\/jats:sup>G sites. To date, tens of thousands of m<jats:sup>7<\/jats:sup>G sites have been identified by high-throughput sequencing approaches and the information is publicly available in bioinformatics databases, which can be leveraged to predict potential disease-associated m<jats:sup>7<\/jats:sup>G sites using a computational perspective. Thus, computational methods for m<jats:sup>7<\/jats:sup>G-disease association prediction are urgently needed, but none are currently available at present.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>To fill this gap, we collected association information between m<jats:sup>7<\/jats:sup>G sites and diseases, genomic information of m<jats:sup>7<\/jats:sup>G sites, and phenotypic information of diseases from different databases to build an m<jats:sup>7<\/jats:sup>G-disease association dataset. To infer potential disease-associated m<jats:sup>7<\/jats:sup>G sites, we then proposed a heterogeneous network-based model, m<jats:sup>7<\/jats:sup>G Sites and Diseases Associations Inference (m<jats:sup>7<\/jats:sup>GDisAI) model. m<jats:sup>7<\/jats:sup>GDisAI predicts the potential disease-associated m<jats:sup>7<\/jats:sup>G sites by applying a matrix decomposition method on heterogeneous networks which integrate comprehensive similarity information of m<jats:sup>7<\/jats:sup>G sites and diseases. To evaluate the prediction performance, 10 runs of tenfold cross validation were first conducted, and m<jats:sup>7<\/jats:sup>GDisAI got the highest AUC of 0.740(\u00b1\u20090.0024). Then global and local leave-one-out cross validation (LOOCV) experiments were implemented to evaluate the model\u2019s accuracy in global and local situations respectively. AUC of 0.769 was achieved in global LOOCV, while 0.635 in local LOOCV. A case study was finally conducted to identify the most promising ovarian cancer-related m<jats:sup>7<\/jats:sup>G sites for further functional analysis. Gene Ontology (GO) enrichment analysis was performed to explore the complex associations between host gene of m<jats:sup>7<\/jats:sup>G sites and GO terms. The results showed that m<jats:sup>7<\/jats:sup>GDisAI identified disease-associated m<jats:sup>7<\/jats:sup>G sites and their host genes are consistently related to the pathogenesis of ovarian cancer, which may provide some clues for pathogenesis of diseases.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The m<jats:sup>7<\/jats:sup>GDisAI web server can be accessed at <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/180.208.58.66\/m7GDisAI\/\">http:\/\/180.208.58.66\/m7GDisAI\/<\/jats:ext-link>, which provides a user-friendly interface to query disease associated m<jats:sup>7<\/jats:sup>G. The list of top 20 m<jats:sup>7<\/jats:sup>G sites predicted to be associted with 177 diseases can be achieved. Furthermore, detailed information about specific m<jats:sup>7<\/jats:sup>G sites and diseases are also shown.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12859-021-04007-9","type":"journal-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T13:06:08Z","timestamp":1616591168000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["m7GDisAI: N7-methylguanosine (m7G) sites and diseases associations inference based on heterogeneous network"],"prefix":"10.1186","volume":"22","author":[{"given":"Jiani","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bowen","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenxuan","family":"Zang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,3,24]]},"reference":[{"issue":"11","key":"4007_CR1","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1038\/nsmb.2911","volume":"21","author":"SR Jaffrey","year":"2014","unstructured":"Jaffrey SR. An expanding universe of mRNA modifications. Nat Struct Mol Biol. 2014;21(11):945\u20136.","journal-title":"Nat Struct Mol Biol"},{"issue":"10","key":"4007_CR2","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1038\/s41580-019-0168-5","volume":"20","author":"S Zaccara","year":"2019","unstructured":"Zaccara S, Ries RJ, Jaffrey SR. Reading, writing and erasing mRNA methylation. Nat Rev Mol Cell Biol. 2019;20(10):608\u201324.","journal-title":"Nat Rev Mol Cell Biol"},{"issue":"12","key":"4007_CR3","doi-asserted-by":"publisher","first-page":"1608","DOI":"10.1080\/15476286.2015.1008360","volume":"11","author":"MP Guy","year":"2014","unstructured":"Guy MP, Phizicky EM. Two-subunit enzymes involved in eukaryotic post-transcriptional tRNA modification. RNA Biol. 2014;11(12):1608\u201318.","journal-title":"RNA Biol"},{"issue":"9","key":"4007_CR4","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1080\/15476286.2016.1259781","volume":"14","author":"KE Sloan","year":"2017","unstructured":"Sloan KE, Warda AS, Sharma S, Entian K-D, Lafontaine DLJ, Bohnsack MT. Tuning the ribosome: the influence of rRNA modification on eukaryotic ribosome biogenesis and function. RNA Biol. 2017;14(9):1138\u201352.","journal-title":"RNA Biol"},{"key":"4007_CR5","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1042\/BJ20091352","volume":"425","author":"VH Cowling","year":"2010","unstructured":"Cowling VH. Regulation of mRNA cap methylation. Biochemical Journal. 2010;425:295\u2013302.","journal-title":"Biochemical Journal"},{"issue":"11","key":"4007_CR6","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1038\/s41422-019-0230-z","volume":"29","author":"L Malbec","year":"2019","unstructured":"Malbec L, Zhang T, Chen Y-S, Zhang Y, Sun B-F, Shi B-Y, Zhao Y-L, Yang Y, Yang Y-G. Dynamic methylome of internal mRNA N-7-methylguanosine and its regulatory role in translation. Cell Res. 2019;29(11):927\u201341.","journal-title":"Cell Res"},{"issue":"8","key":"4007_CR7","doi-asserted-by":"publisher","first-page":"394","DOI":"10.2183\/pjab.91.394","volume":"91","author":"Y Furuichi","year":"2015","unstructured":"Furuichi Y. Discovery of m(7)G-cap in eukaryotic mRNAs. Proc Jpn Acad Ser B-Phys Biol Sci. 2015;91(8):394\u2013409.","journal-title":"Proc Jpn Acad Ser B-Phys Biol Sci."},{"key":"4007_CR8","doi-asserted-by":"crossref","unstructured":"Shi HJ, Moore PB: The crystal structure of yeast phenylalanine tRNA at 1.93 angstrom resolution: A classic structure revisited. Rna 2000, 6(8):1091\u20131105.","DOI":"10.1017\/S1355838200000364"},{"issue":"3","key":"4007_CR9","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1093\/nar\/gkj491","volume":"34","author":"R Oliva","year":"2006","unstructured":"Oliva R, Cavallo L, Tramontano A. Accurate energies of hydrogen bonded nucleic acid base pairs and triplets in tRNA tertiary interactions. Nucleic Acids Res. 2006;34(3):865\u201379.","journal-title":"Nucleic Acids Res"},{"issue":"7","key":"4007_CR10","doi-asserted-by":"publisher","first-page":"2734","DOI":"10.1073\/pnas.74.7.2734","volume":"74","author":"K Shimotohno","year":"1977","unstructured":"Shimotohno K, Kodama Y, Hashimoto J, Miura KI. Importance of 5\u2019-terminal blocking structure to stabilize mRNA in eukaryotic protein synthesis. Proc Natl Acad Sci USA. 1977;74(7):2734\u20138.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"22","key":"4007_CR11","doi-asserted-by":"publisher","first-page":"19639","DOI":"10.1074\/jbc.M200015200","volume":"277","author":"Y Pei","year":"2002","unstructured":"Pei Y, Shuman S. Interactions between fission yeast mRNA capping enzymes and elongation factor Spt5. J Biol Chem. 2002;277(22):19639\u201348.","journal-title":"J Biol Chem"},{"issue":"3","key":"4007_CR12","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1016\/0092-8674(84)90268-X","volume":"38","author":"MM Konarska","year":"1984","unstructured":"Konarska MM, Padgett RA, Sharp PA. Recognition of cap structure in splicing in vitro of mRNA precursors. Cell. 1984;38(3):731\u20136.","journal-title":"Cell"},{"issue":"20","key":"4007_CR13","doi-asserted-by":"publisher","first-page":"7375","DOI":"10.1093\/nar\/13.20.7375","volume":"13","author":"DR Drummond","year":"1985","unstructured":"Drummond DR, Armstrong J, Colman A. The effect of capping and polyadenylation on the stability, movement and translation of synthetic messenger RNAs in Xenopus oocytes. Nucleic Acids Res. 1985;13(20):7375\u201394.","journal-title":"Nucleic Acids Res"},{"issue":"2","key":"4007_CR14","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1111\/j.1432-1033.1997.00461.x","volume":"247","author":"JD Lewis","year":"1997","unstructured":"Lewis JD, Izaurralde E. The role of the cap structure in RNA processing and nuclear export. Eur J Biochem. 1997;247(2):461\u20139.","journal-title":"Eur J Biochem"},{"issue":"5503","key":"4007_CR15","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1038\/255033a0","volume":"255","author":"S Muthukrishnan","year":"1975","unstructured":"Muthukrishnan S, Both GW, Furuichi Y, Shatkin AJ. 5\u2019-Terminal 7-methylguanosine in eukaryotic mRNA is required for translation. Nature. 1975;255(5503):33\u20137.","journal-title":"Nature"},{"key":"4007_CR16","doi-asserted-by":"crossref","unstructured":"Shaheen R, Abdel-Salam GMH, Guy MP, Alomar R, Abdel-Hamid MS, Afifi HH, Ismail SI, Emam BA, Phizicky EM, Alkuraya FS: Mutation in WDR4 impairs tRNA m(7)G(46) methylation and causes a distinct form of microcephalic primordial dwarfism. Genome Biol. 2015, 16.","DOI":"10.1186\/s13059-015-0779-x"},{"issue":"2","key":"4007_CR17","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1111\/cge.13074","volume":"93","author":"A Trimouille","year":"2018","unstructured":"Trimouille A, Lasseaux E, Barat P, Deiller C, Drunat S, Rooryck C, Arveiler B, Lacombe D. Further delineation of the phenotype caused by biallelic variants in the WDR4 gene. Clin Genet. 2018;93(2):374\u20137.","journal-title":"Clin Genet"},{"key":"4007_CR18","doi-asserted-by":"crossref","unstructured":"Lin S, Liu Q, Lelyveld VS, Choe J, Szostak JW, Gregory RI: Mettl1\/Wdr4-mediated m(7)G tRNA methylome is required for normal mRNA translation and embryonic stem cell self-renewal and differentiation. Mol Cell 2018, 71(2):244-+.","DOI":"10.1016\/j.molcel.2018.06.001"},{"issue":"24","key":"4007_CR19","doi-asserted-by":"publisher","first-page":"4756","DOI":"10.1093\/hmg\/ddp438","volume":"18","author":"PL Pereira","year":"2009","unstructured":"Pereira PL, Magnol L, Sahun I, Brault V, Duchon A, Prandini P, Gruart A, Bizot J-C, Chadefaux-Vekemans B, Deutsch S, et al. A new mouse model for the trisomy of the Abcg1-U2af1 region reveals the complexity of the combinatorial genetic code of down syndrome. Hum Mol Genet. 2009;18(24):4756\u201369.","journal-title":"Hum Mol Genet"},{"key":"4007_CR20","doi-asserted-by":"crossref","unstructured":"Barbieri I, Tzelepis K, Pandolfini L, Shi J, Millan-Zambrano G, Robson SC, Aspris D, Migliori V, Bannister AJ, Han N et al: Promoter-bound METTL3 maintains myeloid leukaemia by m(6)A-dependent translation control. Nature 2017, 552(7683):126-+.","DOI":"10.1038\/nature24678"},{"key":"4007_CR21","doi-asserted-by":"crossref","unstructured":"Zhang LS, Liu C, Ma HH, Dai Q, Sun HL, Luo GZ, Zhang ZJ, Zhang LD, Hu LL, Dong XY et al. Transcriptome-wide mapping of internal N-7-methylguanosine methylome in mammalian mRNA. Mol Cell 2019, 74(6):1304.","DOI":"10.1016\/j.molcel.2019.03.036"},{"key":"4007_CR22","doi-asserted-by":"crossref","unstructured":"Song B, Tang Y, Chen K, Wei Z, Rong R, Lu Z, Su J, de Magalhaes JP, Rigden DJ, Meng J. m7GHub: deciphering the location, regulation and pathogenesis of internal mRNA N7-methylguanosine (m7G) sites in human. Bioinformatics (Oxford, England) 2020.","DOI":"10.1093\/bioinformatics\/btaa178"},{"key":"4007_CR23","doi-asserted-by":"crossref","unstructured":"Chen K, Wei Z, Zhang Q, Wu X, Rong R, Lu Z, Su J, de Magalhaes JP, Rigden DJ, Meng J. WHISTLE: a high-accuracy map of the human N-6-methyladenosine (m(6)A) epitranscriptome predicted using a machine learning approach. Nucleic Acids Res 2019, 47(7).","DOI":"10.1093\/nar\/gkz074"},{"key":"4007_CR24","doi-asserted-by":"crossref","unstructured":"Zhou Y, Zeng P, Li Y-H, Zhang Z, Cui Q: SRAMP: prediction of mammalian N-6-methyladenosine (m(6)A) sites based on sequence-derived features. Nucleic Acids Res 2016, 44(10).","DOI":"10.1093\/nar\/gkw104"},{"issue":"2","key":"4007_CR25","doi-asserted-by":"publisher","first-page":"363","DOI":"10.1016\/j.jbi.2011.11.017","volume":"45","author":"S Mathur","year":"2012","unstructured":"Mathur S, Dinakarpandian D. Finding disease similarity based on implicit semantic similarity. J Biomed Inform. 2012;45(2):363\u201371.","journal-title":"J Biomed Inform"},{"key":"4007_CR26","doi-asserted-by":"crossref","unstructured":"Cheng L, Li J, Ju P, Peng J, Wang Y: SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association. Plos One 2014, 9(6).","DOI":"10.1371\/journal.pone.0099415"},{"key":"4007_CR27","unstructured":"Resnik P: Using information content to evaluate semantic similarity in a taxonomy. 1995."},{"issue":"10","key":"4007_CR28","doi-asserted-by":"publisher","first-page":"1274","DOI":"10.1093\/bioinformatics\/btm087","volume":"23","author":"JZ Wang","year":"2007","unstructured":"Wang JZ, Du Z, Payattakool R, Yu PS, Chen C-F. A new method to measure the semantic similarity of GO terms. Bioinformatics. 2007;23(10):1274\u201381.","journal-title":"Bioinformatics"},{"key":"4007_CR29","doi-asserted-by":"crossref","unstructured":"Hu Y, Zhao L, Liu Z, Ju H, Shi H, Xu P, Wang Y, Cheng L: DisSetSim: an online system for calculating similarity between disease sets. J Biomed Semant 2017, 8.","DOI":"10.1186\/s13326-017-0140-2"},{"key":"4007_CR30","doi-asserted-by":"crossref","unstructured":"Jain P, Netrapalli P, Sanghavi S, Assoc Comp M: Low-rank matrix completion using alternating minimization; 2013.","DOI":"10.1145\/2488608.2488693"},{"issue":"4","key":"4007_CR31","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1109\/LSP.2012.2188026","volume":"19","author":"D Zachariah","year":"2012","unstructured":"Zachariah D, Sundin M, Jansson M, Chatterjee S. Alternating least-squares for low-rank matrix reconstruction. IEEE Signal Process Lett. 2012;19(4):231\u20134.","journal-title":"IEEE Signal Process Lett"},{"issue":"8","key":"4007_CR32","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","volume":"27","author":"T Fawcett","year":"2006","unstructured":"Fawcett T. An introduction to ROC analysis. Pattern Recogn Lett. 2006;27(8):861\u201374.","journal-title":"Pattern Recogn Lett"},{"issue":"1","key":"4007_CR33","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","volume":"143","author":"JA Hanley","year":"1982","unstructured":"Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology. 1982;143(1):29\u201336.","journal-title":"Radiology"},{"key":"4007_CR34","doi-asserted-by":"crossref","unstructured":"Yousefi M, Dehghani S, Nosrati R, Ghanei M, Salmaninejad A, Rajaie S, Hasanzadeh M, Pasdar A: Current insights into the metastasis of epithelial ovarian cancer - hopes and hurdles. Cellular oncology (Dordrecht) 2020.","DOI":"10.1007\/s13402-020-00513-9"},{"key":"4007_CR35","doi-asserted-by":"crossref","unstructured":"Phillips-Chavez C, Watson M, Coward J, Schloss J: A systematic literature review assessing if genetic biomarkers are predictors for platinum-based chemotherapy response in ovarian cancer patients. Eur J Clin Pharmacol. 2020.","DOI":"10.1007\/s00228-020-02874-4"},{"issue":"6","key":"4007_CR36","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1002\/humu.20495","volume":"28","author":"A Petitjean","year":"2007","unstructured":"Petitjean A, Mathe E, Kato S, Ishioka C, Tavtigian SV, Hainaut P, Olivier M. Impact of mutant p53 functional properties on TP53 mutation patterns and tumor phenotype: Lessons from recent developments in the IARC TP53 database. Hum Mutat. 2007;28(6):622\u20139.","journal-title":"Hum Mutat"},{"issue":"2","key":"4007_CR37","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/S0002-9440(10)64744-X","volume":"156","author":"WY Chan","year":"2000","unstructured":"Chan WY, Cheung KK, Schorge JO, Huang LW, Welch WR, Bell DA, Berkowitz RS, Mok SC. Bcl-2 and p53 protein expression, apoptosis, and p53 mutation in human epithelial ovarian cancers. Am J Pathol. 2000;156(2):409\u201317.","journal-title":"Am J Pathol"},{"issue":"8","key":"4007_CR38","doi-asserted-by":"publisher","first-page":"E687","DOI":"10.1073\/pnas.1217425110","volume":"110","author":"SS Lange","year":"2013","unstructured":"Lange SS, Bedford E, Reh S, Wittschieben JP, Carbajal S, Kusewitt DF, DiGiovanni J, Wood RD. Dual role for mammalian DNA polymerase zeta in maintaining genome stability and proliferative responses. Proc Natl Acad Sci USA. 2013;110(8):E687\u201396.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"6087","key":"4007_CR39","doi-asserted-by":"publisher","first-page":"1440","DOI":"10.1126\/science.1218351","volume":"336","author":"JE Purvis","year":"2012","unstructured":"Purvis JE, Karhohs KW, Mock C, Batchelor E, Loewer A, Lahav G. p53 Dynamics control cell fate. Science. 2012;336(6087):1440\u20134.","journal-title":"Science"},{"key":"4007_CR40","doi-asserted-by":"crossref","unstructured":"Batchelor E, Loewer A, Mock C, Lahav G: Stimulus-dependent dynamics of p53 in single cells. Mol Syst Biol. 2011, 7.","DOI":"10.1038\/msb.2011.20"},{"issue":"4","key":"4007_CR41","doi-asserted-by":"publisher","first-page":"733","DOI":"10.1002\/cncr.23601","volume":"113","author":"T Pal","year":"2008","unstructured":"Pal T, Permuth-Wey J, Sellers TA. A review of the clinical relevance of mismatch-repair deficiency in ovarian cancer. Cancer. 2008;113(4):733\u201342.","journal-title":"Cancer"},{"issue":"6468","key":"4007_CR42","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1038\/368258a0","volume":"368","author":"CE Bronner","year":"1994","unstructured":"Bronner CE, Baker SM, Morrison PT, Warren G, Smith LG, Lescoe MK, Kane M, Earabino C, Lipford J, Lindblom A. Mutation in the DNA mismatch repair gene homologue hMLH1 is associated with hereditary non-polyposis colon cancer. Nature. 1994;368(6468):258\u201361.","journal-title":"Nature"},{"issue":"4","key":"4007_CR43","first-page":"1415","volume":"6","author":"G Samimi","year":"2000","unstructured":"Samimi G, Fink D, Varki NM, Husain A, Hoskins WJ, Alberts DS, Howell SB. Analysis of MLH1 and MSH2 expression in ovarian cancer before and after platinum drug-based chemotherapy. Clin Cancer Res. 2000;6(4):1415\u201321.","journal-title":"Clin Cancer Res"},{"issue":"3","key":"4007_CR44","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1038\/ng1197-271","volume":"17","author":"M Miyaki","year":"1997","unstructured":"Miyaki M, Konishi M, Tanaka K, Kikuchi-Yanoshita R, Muraoka M, Yasuno M, Igari T, Koike M, Chiba M, Mori T. Germline mutation of MSH6 as the cause of hereditary nonpolyposis colorectal cancer. Nat Genet. 1997;17(3):271\u20132.","journal-title":"Nat Genet"},{"issue":"4","key":"4007_CR45","doi-asserted-by":"publisher","first-page":"1579","DOI":"10.1039\/c3sc53203h","volume":"5","author":"CT Lum","year":"2014","unstructured":"Lum CT. Sun RW-Y, Zou T, Che C-M: Gold(III) complexes inhibit growth of cisplatin-resistant ovarian cancer in association with upregulation of proapoptotic PMS2 gene. Chem Sci. 2014;5(4):1579\u201384.","journal-title":"Chem Sci"},{"issue":"1","key":"4007_CR46","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/S0165-4608(98)00252-0","volume":"112","author":"Y Ichikawa","year":"1999","unstructured":"Ichikawa Y, Lemon SJ, Wang S, Franklin B, Watson P, Knezetic JA, Bewtra C, Lynch HT. Microsatellite instability and expression of MLH1 and MSH2 in normal and malignant endometrial and ovarian epithelium in hereditary nonpolyposis colorectal cancer family members. Cancer Genet Cytogenet. 1999;112(1):2\u20138.","journal-title":"Cancer Genet Cytogenet"},{"issue":"6","key":"4007_CR47","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1111\/j.1399-0004.2005.00537.x","volume":"68","author":"K Cederquist","year":"2005","unstructured":"Cederquist K, Emanuelsson M, Wiklund F, Golovleva I, Palmqvist R, Gronberg H. Two Swedish founder MSH6 mutations, one nonsense and one missense, conferring high cumulative risk of Lynch syndrome. Clin Genet. 2005;68(6):533\u201341.","journal-title":"Clin Genet"},{"issue":"1","key":"4007_CR48","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1038\/5042","volume":"21","author":"L Shayesteh","year":"1999","unstructured":"Shayesteh L, Lu Y, Kuo WL, Baldocchi R, Godfrey T, Collins C, Pinkel D, Powell B, Mills GB, Gray JW. PIK3CA is implicated as an oncogene in ovarian cancer. Nat Genet. 1999;21(1):99\u2013102.","journal-title":"Nat Genet"},{"issue":"1","key":"4007_CR49","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.ygyno.2004.11.051","volume":"97","author":"S Lee","year":"2005","unstructured":"Lee S, Choi EJ, Jin CB, Kim DH. Activation of PI3K\/Akt pathway by PTEN reduction and PIK3CA mRNA amplification contributes to cisplatin resistance in an ovarian cancer cell line. Gynecol Oncol. 2005;97(1):26\u201334.","journal-title":"Gynecol Oncol"},{"issue":"3","key":"4007_CR50","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.ccr.2014.02.025","volume":"25","author":"CL Arteaga","year":"2014","unstructured":"Arteaga CL, Engelman JA. ERBB receptors: from oncogene discovery to basic science to mechanism-based cancer therapeutics. Cancer Cell. 2014;25(3):282\u2013303.","journal-title":"Cancer Cell"},{"issue":"1","key":"4007_CR51","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1002\/(SICI)1521-1878(199801)20:1<41::AID-BIES7>3.0.CO;2-V","volume":"20","author":"DJ Riese 2nd","year":"1998","unstructured":"Riese DJ 2nd, Stern DF. Specificity within the EGF family\/ErbB receptor family signaling network. BioEssays. 1998;20(1):41\u20138.","journal-title":"BioEssays"},{"key":"4007_CR52","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.phrs.2013.11.002","volume":"79","author":"R Roskoski Jr","year":"2014","unstructured":"Roskoski R Jr. The ErbB\/HER family of protein-tyrosine kinases and cancer. Pharmacol Res. 2014;79:34\u201374.","journal-title":"Pharmacol Res"},{"issue":"6","key":"4007_CR53","first-page":"1133","volume":"18","author":"S Ginath","year":"2001","unstructured":"Ginath S, Menczer J, Friedmann Y, Aingorn H, Aviv A, Tajima K, Dantes A, Glezerman M, Vlodavsky I, Amsterdam A. Expression of heparanase, Mdm2, and erbB2 in ovarian cancer. Int J Oncol. 2001;18(6):1133\u201344.","journal-title":"Int J Oncol"}],"container-title":["BMC Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-021-04007-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s12859-021-04007-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s12859-021-04007-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T13:07:29Z","timestamp":1616591249000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-021-04007-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,24]]},"references-count":53,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["4007"],"URL":"https:\/\/doi.org\/10.1186\/s12859-021-04007-9","relation":{},"ISSN":["1471-2105"],"issn-type":[{"value":"1471-2105","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,24]]},"assertion":[{"value":"28 June 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 February 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 March 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"152"}}