{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:35:28Z","timestamp":1761863728650,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.23919\/mipro.2017.7973605","type":"proceedings-article","created":{"date-parts":[[2017,7,25]],"date-time":"2017-07-25T15:28:35Z","timestamp":1500996515000},"page":"1195-1200","source":"Crossref","is-referenced-by-count":12,"title":["A hybrid method for prediction of protein secondary structure based on multiple artificial neural networks"],"prefix":"10.23919","author":[{"given":"Haris","family":"Hasic","sequence":"first","affiliation":[]},{"given":"Emir","family":"Buza","sequence":"additional","affiliation":[]},{"given":"Amila","family":"Akagic","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0109832"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNB.2009.2016484"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbrc.2005.06.128"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2005.102"},{"key":"ref13","first-page":"765","article-title":"HIPPI - Highly Accurate Protein Family Classification with Wnsembles of HMMs","volume":"17","author":"nguyen","year":"0"},{"article-title":"Support Vector Machines for Predicting Protein Structural Class","year":"2001","author":"dong","key":"ref14"},{"key":"ref15","first-page":"145","article-title":"Protein Structure Prediction using Neural Networks and Support Vector Machines","volume":"3","author":"bhushan","year":"0","journal-title":"International Journal of Engineering Science and Advanced Technology"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.1041"},{"key":"ref17","first-page":"763","article-title":"Prediction of Protein Supersec-ondary Structures Based on the Artificial Neural Network Method","volume":"10","author":"sun","year":"1997"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bth487"},{"article-title":"Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks","year":"0","author":"li","key":"ref19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-9-226"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/prot.21298"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-2836(05)80007-5"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2116\/analsci.19.129"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4613-1571-1_9"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0134(19990301)34:4<508::AID-PROT10>3.0.CO;2-4"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1002\/pro.5560040214","article-title":"Neural Networks for Secondary Structure and Structural Class Predictions","volume":"4","author":"chandonia","year":"1994","journal-title":"Protein Science"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0076-6879(96)66034-0"},{"journal-title":"Prediciton of Protein Structure and the Principles od Protein Conformation","year":"1989","author":"garnier","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/bip.20853"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti423"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0156238"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/biom4010160"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/srep18962"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4172\/2379-1764.1000139"},{"journal-title":"Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning RECOMB 2017","year":"2016","author":"busiay","key":"ref24"},{"journal-title":"MUST-CNN A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-based Protein Structure Prediction AAAI 2016","year":"2016","author":"lin","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/5326.897072"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CIBCB.2006.330959"}],"event":{"name":"2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)","start":{"date-parts":[[2017,5,22]]},"location":"Opatija, Croatia","end":{"date-parts":[[2017,5,26]]}},"container-title":["2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7958418\/7973374\/07973605.pdf?arnumber=7973605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T11:50:07Z","timestamp":1569930607000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7973605\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":30,"URL":"https:\/\/doi.org\/10.23919\/mipro.2017.7973605","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}