{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T03:00:36Z","timestamp":1781146836023,"version":"3.54.1"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072157"],"award-info":[{"award-number":["62072157"]}],"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":["62062063"],"award-info":[{"award-number":["62062063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009102","name":"Education Department of Jiangxi Province","doi-asserted-by":"publisher","award":["GJJ202310"],"award-info":[{"award-number":["GJJ202310"]}],"id":[{"id":"10.13039\/501100009102","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006407","name":"Natural Science Foundation of Henan Province","doi-asserted-by":"publisher","award":["262300420298"],"award-info":[{"award-number":["262300420298"]}],"id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010950","name":"Science and Technology Department, Henan Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010950","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009555","name":"Henan Normal University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009555","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004479","name":"Jiangxi Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["20224BAB202022"],"award-info":[{"award-number":["20224BAB202022"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.neunet.2026.108922","type":"journal-article","created":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T17:28:56Z","timestamp":1775150936000},"page":"108922","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["MARSNet: A convolutional attention residual shrinkage network for RNA-protein binding site prediction"],"prefix":"10.1016","volume":"201","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9616-1145","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengyu","family":"Xing","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-1536-9891","authenticated-orcid":false,"given":"Zhenxi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianfang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangsheng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"D1","key":"10.1016\/j.neunet.2026.108922_bib0001","doi-asserted-by":"crossref","first-page":"D180","DOI":"10.1093\/nar\/gkr1007","article-title":"doRiNA: A database of RNA interactions in post-transcriptional regulation","volume":"40","author":"Anders","year":"2012","journal-title":"Nucleic Acids Research"},{"issue":"2","key":"10.1016\/j.neunet.2026.108922_bib0002","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1002\/wrna.1103","article-title":"Identification of RNA\u2013protein interaction networks using PAR-CLIP","volume":"3","author":"Ascano","year":"2012","journal-title":"Wiley Interdisciplinary Reviews: RNA"},{"issue":"4","key":"10.1016\/j.neunet.2026.108922_bib0003","doi-asserted-by":"crossref","first-page":"373","DOI":"10.2478\/jaiscr-2024-0020","article-title":"Exponential state estimation for delayed competitive neural network via stochastic sampled-data control with markov jump parameters under actuator failure","volume":"14","author":"Cao","year":"2024","journal-title":"Journal of Artificial Intelligence and Soft Computing Research"},{"key":"10.1016\/j.neunet.2026.108922_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijepes.2025.110982","article-title":"Resilient memory sampled-data controller for synchronization of semi-Markovian jump competitive neural networks with mixed delays","volume":"171","author":"Chandrasekar","year":"2025","journal-title":"International Journal of Electrical Power & Energy Systems"},{"issue":"3","key":"10.1016\/j.neunet.2026.108922_bib0005","doi-asserted-by":"crossref","DOI":"10.1007\/s11432-021-3493-7","article-title":"Class attention network for image recognition","volume":"66","author":"Cheng","year":"2023","journal-title":"Science China Information Sciences"},{"issue":"7254","key":"10.1016\/j.neunet.2026.108922_bib0006","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1038\/nature08170","article-title":"Argonaute HITS-CLIP decodes microRNA\u2013mRNA interaction maps","volume":"460","author":"Chi","year":"2009","journal-title":"Nature"},{"issue":"1","key":"10.1016\/j.neunet.2026.108922_bib0007","article-title":"Rna-binding proteins implicated in neurodegenerative diseases","volume":"8","author":"Cookson","year":"2017","journal-title":"Wiley Interdisciplinary Reviews: RNA"},{"issue":"Suppl 13","key":"10.1016\/j.neunet.2026.108922_bib0008","doi-asserted-by":"crossref","first-page":"866","DOI":"10.1186\/s12864-020-07239-w","article-title":"Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure","volume":"21","author":"Deng","year":"2020","journal-title":"BMC Genomics"},{"issue":"12","key":"10.1016\/j.neunet.2026.108922_bib0009","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1038\/nrg3813","article-title":"A census of human RNA-binding proteins","volume":"15","author":"Gerstberger","year":"2014","journal-title":"Nature Reviews Genetics"},{"issue":"1","key":"10.1016\/j.neunet.2026.108922_bib0010","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1038\/s43586-021-00018-1","article-title":"Clip and complementary methods","volume":"1","author":"Hafner","year":"2021","journal-title":"Nature Reviews Methods Primers"},{"key":"10.1016\/j.neunet.2026.108922_bib0011","first-page":"2034","article-title":"Par-clip-a method to identify transcriptome-wide the binding sites of rna binding proteins","volume":"41","author":"Hafner","year":"2010","journal-title":"Journal of Visualized Experiments: JoVE"},{"issue":"1","key":"10.1016\/j.neunet.2026.108922_bib0012","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.cell.2010.03.009","article-title":"Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP","volume":"141","author":"Hafner","year":"2010","journal-title":"Cell"},{"key":"10.1016\/j.neunet.2026.108922_bib0013","series-title":"European conference on computer vision","first-page":"630","article-title":"Identity mappings in deep residual networks","author":"He","year":"2016"},{"issue":"8","key":"10.1016\/j.neunet.2026.108922_bib0014","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.tig.2008.05.004","article-title":"RNA-binding proteins in human genetic disease","volume":"24","author":"Lukong","year":"2008","journal-title":"Trends in Genetics"},{"issue":"1","key":"10.1016\/j.neunet.2026.108922_bib0015","doi-asserted-by":"crossref","DOI":"10.1186\/gb-2014-15-1-r17","article-title":"GraphProt: Modeling binding preferences of RNA-binding proteins","volume":"15","author":"Maticzka","year":"2014","journal-title":"Genome Biology"},{"key":"10.1016\/j.neunet.2026.108922_bib0016","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.engappai.2017.11.008","article-title":"Dual-graph regularized non-negative matrix factorization with sparse and orthogonal constraints","volume":"69","author":"Meng","year":"2018","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"3","key":"10.1016\/j.neunet.2026.108922_bib0017","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s12185-020-03027-0","article-title":"EWSR1 overexpression is a pro-oncogenic event in multiple myeloma","volume":"113","author":"Nishiyama","year":"2021","journal-title":"International Journal of Hematology"},{"issue":"1","key":"10.1016\/j.neunet.2026.108922_bib0018","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1186\/s12859-017-1561-8","article-title":"RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach","volume":"18","author":"Pan","year":"2017","journal-title":"BMC Bioinformatics"},{"issue":"20","key":"10.1016\/j.neunet.2026.108922_bib0019","doi-asserted-by":"crossref","first-page":"3427","DOI":"10.1093\/bioinformatics\/bty364","article-title":"Predicting RNA\u2013protein binding sites and motifs through combining local and global deep convolutional neural networks","volume":"34","author":"Pan","year":"2018","journal-title":"Bioinformatics"},{"issue":"2","key":"10.1016\/j.neunet.2026.108922_bib0020","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1109\/TCBB.2022.3170367","article-title":"MCNN: Multiple convolutional neural networks for rna-protein binding sites prediction","volume":"20","author":"Pan","year":"2022","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"issue":"8","key":"10.1016\/j.neunet.2026.108922_bib0021","doi-asserted-by":"crossref","first-page":"1032","DOI":"10.1002\/prot.26489","article-title":"CRMSNet: A deep learning model that uses convolution and residual multi-head self-attention block to predict rbps for rna sequence","volume":"91","author":"Pan","year":"2023","journal-title":"Proteins: Structure, FUnction, and Bioinformatics"},{"key":"10.1016\/j.neunet.2026.108922_bib0022","doi-asserted-by":"crossref","first-page":"87220","DOI":"10.1109\/ACCESS.2025.3570714","article-title":"PIONet: A positional encoding integrated onehot feature based rna-binding protein classification using deep neural network","volume":"13","author":"Rashid","year":"2025","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.neunet.2026.108922_bib0023","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1038\/s41581-021-00497-1","article-title":"RNA-binding proteins and their role in kidney disease","volume":"18","author":"Seufert","year":"2022","journal-title":"Nature Reviews Nephrology"},{"issue":"10","key":"10.1016\/j.neunet.2026.108922_bib0024","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1093\/bioinformatics\/btw003","article-title":"Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins","volume":"32","author":"Stra\u017ear","year":"2016","journal-title":"Bioinformatics"},{"key":"10.1016\/j.neunet.2026.108922_bib0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.chemolab.2020.104217","article-title":"kDeepBind: Prediction of RNA-proteins binding sites using convolution neural network and k-gram features","volume":"208","author":"Tahir","year":"2021","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"10.1016\/j.neunet.2026.108922_bib0026","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.sigpro.2015.09.027","article-title":"DeepChart: Combining deep convolutional networks and deep belief networks in chart classification","volume":"124","author":"Tang","year":"2016","journal-title":"Signal Processing"},{"key":"10.1016\/j.neunet.2026.108922_bib0027","unstructured":"Targ, S., Almeida, D., & Lyman, K. (2016). Resnet in resnet: Generalizing residual architectures. arXiv preprint arXiv: 1603.08029."},{"issue":"4","key":"10.1016\/j.neunet.2026.108922_bib0028","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1038\/nn.2778","article-title":"Characterizing the RNA targets and position-dependent splicing regulation by TDP-43","volume":"14","author":"Tollervey","year":"2011","journal-title":"Nature Neuroscience"},{"issue":"5648","key":"10.1016\/j.neunet.2026.108922_bib0029","doi-asserted-by":"crossref","first-page":"1212","DOI":"10.1126\/science.1090095","article-title":"CLIP identifies Nova-regulated RNA networks in the brain","volume":"302","author":"Ule","year":"2003","journal-title":"Science"},{"key":"10.1016\/j.neunet.2026.108922_bib0030","first-page":"6000","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"issue":"7221","key":"10.1016\/j.neunet.2026.108922_bib0031","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1038\/nature07509","article-title":"Alternative isoform regulation in human tissue transcriptomes","volume":"456","author":"Wang","year":"2008","journal-title":"Nature"},{"issue":"2","key":"10.1016\/j.neunet.2026.108922_bib0032","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1109\/TCBB.2022.3204661","article-title":"Self-attention based neural network for predicting RNA-protein binding sites","volume":"20","author":"Wang","year":"2022","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"issue":"6","key":"10.1016\/j.neunet.2026.108922_bib0033","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1016\/j.molcel.2009.12.003","article-title":"Genome-wide analysis of PTB-RNA interactions reveals a strategy used by the general splicing repressor to modulate exon inclusion or skipping","volume":"36","author":"Xue","year":"2009","journal-title":"Molecular Cell"},{"issue":"1","key":"10.1016\/j.neunet.2026.108922_bib0034","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1186\/s12859-025-06197-y","article-title":"RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for rna\u2013protein binding sites prediction","volume":"26","author":"Zhang","year":"2025","journal-title":"BMC Bioinformatics"},{"issue":"4","key":"10.1016\/j.neunet.2026.108922_bib0035","doi-asserted-by":"crossref","DOI":"10.1093\/nar\/gkv1025","article-title":"A deep learning framework for modeling structural features of RNA-binding protein targets","volume":"44","author":"Zhang","year":"2016","journal-title":"Nucleic Acids Research"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026003837?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026003837?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T02:50:32Z","timestamp":1781146232000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608026003837"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":35,"alternative-id":["S0893608026003837"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2026.108922","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MARSNet: A convolutional attention residual shrinkage network for RNA-protein binding site prediction","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2026.108922","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"108922"}}