{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:44:52Z","timestamp":1770846292668,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,15]]},"DOI":"10.1109\/bibm66473.2025.11357211","type":"proceedings-article","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T21:19:40Z","timestamp":1769721580000},"page":"4939-4946","source":"Crossref","is-referenced-by-count":0,"title":["Ab-VS: Evaluating Large Language Models for Virtual Antibody Screening Via Antibody-Antigen Interaction Prediction"],"prefix":"10.1109","author":[{"given":"Yiming","family":"Zhang","sequence":"first","affiliation":[{"name":"The University of Tokyo,Department of Computational Biology and Medical Sciences,Chiba,Japan"}]},{"given":"Koji","family":"Tsuda","sequence":"additional","affiliation":[{"name":"The University of Tokyo,Department of Computational Biology and Medical Sciences,Chiba,Japan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-38063-x"},{"key":"ref2","article-title":"Benchmark for antibody binding affinity maturation and design","author":"Zhao","year":"2025","journal-title":"arXiv preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2025.101346"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.34133\/research.0721"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1002\/imo2.45"},{"key":"ref6","first-page":"2023","article-title":"Biollmbench: A comprehensive benchmarking of large language models in bioinformatics","author":"Sarwal","year":"2023","journal-title":"bioRxiv"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1088\/2632-2153\/ae20ec"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1039\/D3SC02044D"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.str.2024.10.001"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-023-05562-z"},{"key":"ref11","author":"Gonzalez","journal-title":"Benchmarking generative models for antibody design"},{"key":"ref12","volume-title":"Mistral 7b","author":"Jiang","year":"2023"},{"key":"ref13","volume-title":"Qwen2.5 technical report","author":"Qwen","year":"2025"},{"key":"ref14","volume-title":"Finetuned language models are zero-shot learners","author":"Wei","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1126\/science.ade2574"},{"key":"ref16","volume-title":"Align before fuse: Vision and language representation learning with momentum distillation","author":"Li","year":"2021"},{"key":"ref17","article-title":"On pre-trained language models for antibody","author":"Wang","year":"2023","journal-title":"arXiv preprint"},{"key":"ref18","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref19","article-title":"Llama: Open and efficient foundation language models","author":"Touvron","year":"2023","journal-title":"arXiv preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-024-03423-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10921-0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1056\/aioa2300138"},{"key":"ref23","article-title":"Bioreason: Incentivizing multimodal biological reasoning within a dna-llm model","author":"Fallahpour","year":"2025","journal-title":"arXiv preprint"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3389\/fphar.2018.01089"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127063"},{"issue":"2","key":"ref27","first-page":"3","article-title":"Lora: Low-rank adaptation of large language models","volume":"1","author":"Hu","year":"2022","journal-title":"ICLR"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1103\/1862-rs2k"},{"key":"ref29","first-page":"arXiv","article-title":"An improved metric and benchmark for assessing the performance of virtual screening models","author":"Brocidiacono","year":"2024","journal-title":"ArXiv"}],"event":{"name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Wuhan, China","start":{"date-parts":[[2025,12,15]]},"end":{"date-parts":[[2025,12,18]]}},"container-title":["2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11355913\/11355975\/11357211.pdf?arnumber=11357211","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:53:06Z","timestamp":1770843186000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11357211\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,15]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/bibm66473.2025.11357211","relation":{},"subject":[],"published":{"date-parts":[[2025,12,15]]}}}