{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Peng D"],"funding":["Ministry of Science and Technology of the People’s Republic of China","National Natural Science Foundation of China","Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)","National Natural Science Foundation of China (National Science Foundation of China)"],"pagination":["3685"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11063160"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Sleep, locomotor and social activities are essential animal behaviors, but their reciprocal relationships and underlying mechanisms remain poorly understood. Here, we elicit information from a cutting-edge large-language model (LLM), generative pre-trained transformer (GPT) 3.5, which interprets 10.2-13.8% of Drosophila genes known to regulate the 3 behaviors. We develop an instrument for simultaneous video tracking of multiple moving objects, and conduct a genome-wide screen. We have identified 758 fly genes that regulate sleep and activities, including mre11 which regulates sleep only in the presence of conspecifics, and NELF-B which regulates sleep regardless of whether conspecifics are present. Based on LLM-reasoning, an educated signal web is modeled for understanding of potential rel"],"journal":["Nature communications"],"pubmed_title":["Large-language models facilitate discovery of the molecular signatures regulating sleep and activity."],"pmcid":["PMC11063160"],"funding_grant_id":["32341021","32022035","2021ZD0203200-02"],"pubmed_authors":["Li J","Feng Z","Chen M","Zhang L","Wei Y","Ye X","Xue Y","Song L","Zhao M","Yang Y","Peng D","Zheng L","Huang X","Gou Y","Wang X","Liu D","Han C"],"additional_accession":[]},"is_claimable":false,"name":"Large-language models facilitate discovery of the molecular signatures regulating sleep and activity.","description":"Sleep, locomotor and social activities are essential animal behaviors, but their reciprocal relationships and underlying mechanisms remain poorly understood. Here, we elicit information from a cutting-edge large-language model (LLM), generative pre-trained transformer (GPT) 3.5, which interprets 10.2-13.8% of Drosophila genes known to regulate the 3 behaviors. We develop an instrument for simultaneous video tracking of multiple moving objects, and conduct a genome-wide screen. We have identified 758 fly genes that regulate sleep and activities, including mre11 which regulates sleep only in the presence of conspecifics, and NELF-B which regulates sleep regardless of whether conspecifics are present. Based on LLM-reasoning, an educated signal web is modeled for understanding of potential rel","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 May","modification":"2026-06-01T05:37:41.385Z","creation":"2026-04-08T09:41:07.742Z"},"accession":"S-EPMC11063160","cross_references":{"pubmed":["38693116"],"doi":["10.1038/s41467-024-48005-w"]}}