{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T06:28:20Z","timestamp":1779344900676,"version":"3.51.4"},"reference-count":145,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T00:00:00Z","timestamp":1733961600000},"content-version":"vor","delay-in-days":20,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32100620"],"award-info":[{"award-number":["32100620"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Ribosome profiling (Ribo-seq) provides transcriptome-wide insights into protein synthesis dynamics, yet its analysis poses challenges, particularly for nonbioinformatics researchers. Large language model\u2013based chatbots offer promising solutions by leveraging natural language processing. This review explores their convergence, highlighting opportunities for synergy. We discuss challenges in Ribo-seq analysis and how chatbots mitigate them, facilitating scientific discovery. Through case studies, we illustrate chatbots\u2019 potential contributions, including data analysis and result interpretation. Despite the absence of applied examples, existing software underscores the value of chatbots and the large language model. We anticipate their pivotal role in future Ribo-seq analysis, overcoming limitations. Challenges such as model bias and data privacy require attention, but emerging trends offer promise. The integration of large language models and Ribo-seq analysis holds immense potential for advancing translational regulation and gene expression understanding.<\/jats:p>","DOI":"10.1093\/bib\/bbae641","type":"journal-article","created":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T04:05:23Z","timestamp":1734062723000},"source":"Crossref","is-referenced-by-count":1,"title":["Exploring the potential of large language model\u2013based chatbots in challenges of ribosome profiling data analysis: a review"],"prefix":"10.1093","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-9560-0369","authenticated-orcid":false,"given":"Zheyu","family":"Ding","sequence":"first","affiliation":[{"name":"School of Pharmacy, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]},{"name":"Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rong","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Pharmacy, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]},{"name":"Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianing","family":"Xia","sequence":"additional","affiliation":[{"name":"School of Pharmacy, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]},{"name":"Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonghao","family":"Mu","sequence":"additional","affiliation":[{"name":"School of Pharmacy, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]},{"name":"Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines, Engineering Laboratory of Development and Application of Traditional Chinese Medicines, Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University , Hangzhou, Zhejiang 311121 ,","place":["China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiahuan","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Pharmacy, Hangzhou Normal University , 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