{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T13:54:33Z","timestamp":1774014873110,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Natural Science Foundation of Henan province","award":["212300410367"],"award-info":[{"award-number":["212300410367"]}]},{"name":"Natural Science Foundation of Henan province","award":["202300410102"],"award-info":[{"award-number":["202300410102"]}]},{"name":"Science and Technology Research Key Project of Educational Department of Henan Province","award":["21A520023"],"award-info":[{"award-number":["21A520023"]}]},{"name":"Science and Technology Research Key Project of Educational Department of Henan Province","award":["22A520030"],"award-info":[{"award-number":["22A520030"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072160"],"award-info":[{"award-number":["62072160"]}],"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":["62076089"],"award-info":[{"award-number":["62076089"]}],"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":["62072157"],"award-info":[{"award-number":["62072157"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Project of Science and Technology Department of Henan Province","award":["212102310381"],"award-info":[{"award-number":["212102310381"]}]},{"name":"Educational Science Research Foundation of Henan Normal University","award":["2018JK19"],"award-info":[{"award-number":["2018JK19"]}]},{"name":"Production and Learning Cooperation and Cooperative Education Project of Ministry of Education of China","award":["202102633006"],"award-info":[{"award-number":["202102633006"]}]},{"name":"Key Project of Science and Technology Department of Xinxiang City","award":["GG2021004"],"award-info":[{"award-number":["GG2021004"]}]},{"name":"State Foundation for Studying Abroad of China","award":["202008410042"],"award-info":[{"award-number":["202008410042"]}]},{"name":"National Project Cultivation Fund Project of Henan Normal University","award":["20200156"],"award-info":[{"award-number":["20200156"]}]},{"name":"High Performance Computing Center of Henan Normal University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2023,5,1]]},"DOI":"10.1109\/tcbb.2023.3239983","type":"journal-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T18:58:01Z","timestamp":1674759481000},"page":"2223-2232","source":"Crossref","is-referenced-by-count":10,"title":["GraphPLBR: Protein-Ligand Binding Residue Prediction With Deep Graph Convolution Network"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9616-1145","authenticated-orcid":false,"given":"Wei","family":"Wang","sequence":"first","affiliation":[{"name":"College of computer and Information Engineering, Henan Normal University, Xinxiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6090-2706","authenticated-orcid":false,"given":"Bin","family":"Sun","sequence":"additional","affiliation":[{"name":"College of computer and Information Engineering, Henan Normal University, Xinxiang, China"}]},{"given":"MengXue","family":"Yu","sequence":"additional","affiliation":[{"name":"College of computer and Information Engineering, Henan Normal University, Xinxiang, China"}]},{"given":"ShiYu","family":"Wu","sequence":"additional","affiliation":[{"name":"College of computer and Information Engineering, Henan Normal University, Xinxiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4346-9565","authenticated-orcid":false,"given":"Dong","family":"Liu","sequence":"additional","affiliation":[{"name":"College of computer and Information Engineering, Henan Normal University, Xinxiang, China"}]},{"given":"HongJun","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Mathematics, Anyang University, Anyang, China"}]},{"given":"Yun","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of computer and Information Engineering, Henan Normal University, Xinxiang, China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-15-S15-S4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2013.104"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1126\/science.abj8754"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/s41586-021-03819-2","article-title":"Highly accurate protein structure prediction with alphafold","volume":"596","author":"jumper","year":"2021","journal-title":"Nature"},{"key":"ref53","first-page":"21","article-title":"Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing","author":"abu-el-haija","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2836(02)01139-7"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"471w","DOI":"10.1093\/nar\/gks372","article-title":"Cofactor: An accurate comparative algorithm for structure-based protein function annotation","volume":"40","author":"ambrish","year":"2012","journal-title":"Nucleic Acids Res"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1186\/1471-2105-12-160","article-title":"Funfold: An improved automated method for the prediction of ligand binding residues using 3d models of proteins","volume":"12","author":"tetchner","year":"2011","journal-title":"BMC Bioinf"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S1093-3263(98)00002-3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/0263-7855(92)80074-N"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti315"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkp281"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2893620"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943748"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0238915"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btx218"},{"key":"ref48","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkab044"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab009"},{"key":"ref41","article-title":"sc-PDB: A 3D-database of ligandable binding sites–10 years on","volume":"43","author":"j\u00e9r\u00e9my","year":"2015","journal-title":"Nucleic Acids Res"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s008940100038"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.6b00320"},{"key":"ref49","first-page":"6861","article-title":"Simplifying graph convolutional networks","author":"wu","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"235w","DOI":"10.1093\/nar\/gkr437","article-title":"firestar–advances in the prediction of functionally important residues","volume":"39","author":"gonzalo","year":"2011","journal-title":"Nucleic Acids Res"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0908044107"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0707684105"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-019-2672-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0010109"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm626"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm270"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr120"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-021-00488-1"},{"key":"ref34","first-page":"1725","article-title":"Simple and deep graph convolutional networks","author":"chen","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.06.030"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab643"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3103595"},{"key":"ref30","article-title":"Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncrna-disease association prediction","volume":"22","author":"sheng","year":"2020","journal-title":"Brief Bioinf"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2021.3081268"},{"key":"ref32","article-title":"GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction","volume":"23","author":"liu","year":"2021","journal-title":"Brief Bioinf"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbs063"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bby061"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1021\/ci050372x"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3044367"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00410"},{"key":"ref23","first-page":"1263","article-title":"Neural message passing for quantum chemistry","author":"gilmer","year":"2017","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403104"},{"key":"ref25","article-title":"GraphAF: A flow-based autoregressive model for molecular graph generation","author":"shi","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btt447"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa110"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1000585"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720020400107"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giaa081"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.09.043"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/10144451\/10026482.pdf?arnumber=10026482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T19:00:29Z","timestamp":1687806029000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10026482\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,1]]},"references-count":53,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2023.3239983","relation":{},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"value":"1545-5963","type":"print"},{"value":"1557-9964","type":"electronic"},{"value":"2374-0043","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,1]]}}}