{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:28:40Z","timestamp":1740101320185,"version":"3.37.3"},"reference-count":45,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100004682","name":"Oracle","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004682","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10020490","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"1740-1749","source":"Crossref","is-referenced-by-count":0,"title":["APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface Prediction"],"prefix":"10.1109","author":[{"given":"Tian","family":"Xia","sequence":"first","affiliation":[{"name":"Auburn University,Auburn,AL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Hui","sequence":"additional","affiliation":[{"name":"Auburn University,Auburn,AL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei-Shinn","family":"Ku","sequence":"additional","affiliation":[{"name":"Auburn University,Auburn,AL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-45257-5_29"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty593"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007129"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.6b00740"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa524"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/468"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1039\/c8sc02339e"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c01306"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467311"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c00026"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-43125-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/bfgp\/elaa030"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727339"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2021.03.022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00099"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref17","first-page":"4487","article-title":"Generative adversarial transformers","volume-title":"ICML","volume":"139","author":"Hudson"},{"key":"ref18","article-title":"Do transformers really perform bad for graph representation?","author":"Ying","year":"2021","journal-title":"CoRR"},{"article-title":"Efficient transformers in reinforcement learning using actor-learner distillation","volume-title":"9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021","author":"Parisotto","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467323"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2016239118"},{"key":"ref22","article-title":"Evaluating protein transfer learning with TAPE","author":"Rao","year":"2019","journal-title":"NeurIPS"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.0c00057"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/ijms11083016"},{"article-title":"Independent SE(3)-equivariant models for end-toend rigid protein docking","volume-title":"International Conference on Learning Representations","author":"Ganea","key":"ref25"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bty374"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.7b00650"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.6b00618"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btaa501"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.9b00628"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539441"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411882"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/487"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1006\/jmbi.1999.3371"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-021-00547-7"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.09.007"},{"article-title":"Atomnet: a deep convolutional neural network for bioactivity prediction in structure-based drug discovery","year":"2015","author":"Wallach","key":"ref37"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.89.22.10915"},{"issue":"1","key":"ref39","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume-title":"Proc. icml","volume":"30","author":"Maas"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.7362"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.1c00972.s001"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/ijms222413555"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1039\/C8SC00148K"},{"article-title":"rdkit\/rdkit: 2020 03 1 (q1 2020) release","year":"2020","author":"Landrum","key":"ref45"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2022,12,17]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10020490.pdf?arnumber=10020490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T07:41:45Z","timestamp":1707810105000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020490","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}