{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T06:49:07Z","timestamp":1729666147458,"version":"3.28.0"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1109\/bibm.2015.7359866","type":"proceedings-article","created":{"date-parts":[[2015,12,17]],"date-time":"2015-12-17T22:00:00Z","timestamp":1450389600000},"page":"1296-1303","source":"Crossref","is-referenced-by-count":3,"title":["Accurate prediction of docked protein structure similarity using neural networks and restricted Boltzmann machines"],"prefix":"10.1109","author":[{"given":"Roshanak","family":"Farhoodi","sequence":"first","affiliation":[]},{"given":"Bahar","family":"Akbal-Delibas","sequence":"additional","affiliation":[]},{"given":"Nurit","family":"Haspel","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"crossref","first-page":"1781","DOI":"10.1002\/jcc.20289","article-title":"Scalable molecular dynamics with namd","volume":"26","author":"james","year":"2005","journal-title":"Journal of Computational Chemistry"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkn216"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/prot.22830"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"599","DOI":"10.1007\/978-3-642-35289-8_32","article-title":"A practical guide to training restricted boltzmann machines","volume":"7700","author":"geoffrey","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/prot.21419"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/prot.10115.abs"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1039\/c005060c"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/prot.21373"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkn216"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/prot.24400"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720012420024"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1186\/1472-6807-13-S1-S7"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-61779-465-0_3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btl157"},{"key":"ref28","article-title":"Accurate refinement of docked protein complexes using evolutionary information and deep learning","author":"pomplun","year":"2015","journal-title":"J Bioinform Comput Biol"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1021\/pr9009854"},{"key":"ref27","article-title":"Accurefiner: A machine learning guided refinement method for protein-protein docking","author":"akbal-delibas","year":"2015","journal-title":"Proceedings of the International Conference on Bioinformatics & Computational Biology"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.biophys.29.1.105"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0959-440X(05)80162-9"},{"key":"ref29","article-title":"Deep learning and its applications to signal and information processing","author":"dong","year":"2011","journal-title":"IEEE Signal Processing Magazine"},{"key":"ref5","article-title":"The scoring of poses in protein-protein docking: current capabilities and future directions","volume":"14","author":"iain","year":"2013","journal-title":"BMC Bioinformatics"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/ja026939x"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1002\/jcc.21276","article-title":"Protein-protein docking dealing with the unknown","volume":"31","author":"moreira","year":"2010","journal-title":"J Comput Chem"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sbi.2006.03.003"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"96w","DOI":"10.1093\/nar\/gkh354","article-title":"Cluspro: a fully automated algorithm for protein-protein docking","volume":"32","author":"stephen","year":"2004","journal-title":"Nucleic Acids Research"},{"journal-title":"Introduction to Bioinformatics","year":"2008","author":"lesk","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/prot.22770"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2649387.2649392"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkn186"},{"journal-title":"Elements of Artificial Neural Networks","year":"1997","author":"kishan","key":"ref24"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1089\/cmb.2015.0114"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"key":"ref25","article-title":"Learning internal representations by error propagation. de rumelhart and jl mcclelland (eds.), parallel distributed processing","author":"rumelhart","year":"1986","journal-title":"Foundations"}],"event":{"name":"2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","start":{"date-parts":[[2015,11,9]]},"location":"Washington, DC, USA","end":{"date-parts":[[2015,11,12]]}},"container-title":["2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7350074\/7359638\/07359866.pdf?arnumber=7359866","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,13]],"date-time":"2024-06-13T05:00:04Z","timestamp":1718254804000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7359866\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/bibm.2015.7359866","relation":{},"subject":[],"published":{"date-parts":[[2015,11]]}}}