<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Leung RWT</submitter><funding>Science, Technology and Innovation Commission of Shenzhen Municipality</funding><funding>Guangdong Provincial Natural Science Foundation</funding><funding>National Natural Science Foundation of China</funding><pagination>1518-1528</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12017979</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>27</volume><pubmed_abstract>Gene regulation is a fundamental process that allows organisms to adapt to their environment and increase complexity through the action of nucleic acid-binding proteins (NBPs), such as transcription factors (TFs), which regulate specific sets of genes under distinct conditions. These regulatory interactions form transcriptional regulatory networks (TRNs), which can be further broken down into transcriptional regulatory sub-networks (TRSNs) centered around individual TFs. TRSNs are more stable and practical for analysis, making them ideal for studying gene regulation under specific conditions. Condition-Oriented Regulatory Networks (CORN, https://qinlab.sysu.edu.cn/corn/home) is a comprehensive library of condition-based TRSNs, including those induced by natural compounds, small molecules, </pubmed_abstract><journal>Computational and structural biotechnology journal</journal><pubmed_title>CORN 2.0 - Condition Orientated Regulatory Networks 2.0.</pubmed_title><pmcid>PMC12017979</pmcid><funding_grant_id>RCJC20221008092753082</funding_grant_id><funding_grant_id>2024A1515011210</funding_grant_id><funding_grant_id>32170655</funding_grant_id><funding_grant_id>12071306</funding_grant_id><funding_grant_id>12222112</funding_grant_id><funding_grant_id>JCYJ20241202124209011</funding_grant_id><funding_grant_id>12426311</funding_grant_id><funding_grant_id>RCYX20231211090222026</funding_grant_id><funding_grant_id>20220817122906001</funding_grant_id><funding_grant_id>202206193000001</funding_grant_id><pubmed_authors>Huang S</pubmed_authors><pubmed_authors>Yang Z</pubmed_authors><pubmed_authors>Lin R</pubmed_authors><pubmed_authors>Hu Y</pubmed_authors><pubmed_authors>Leung RWT</pubmed_authors><pubmed_authors>Chen Z</pubmed_authors><pubmed_authors>Zong X</pubmed_authors><pubmed_authors>Liang Y</pubmed_authors><pubmed_authors>Qin J</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Jiang X</pubmed_authors><pubmed_authors>Deng W</pubmed_authors></additional><is_claimable>false</is_claimable><name>CORN 2.0 - Condition Orientated Regulatory Networks 2.0.</name><description>Gene regulation is a fundamental process that allows organisms to adapt to their environment and increase complexity through the action of nucleic acid-binding proteins (NBPs), such as transcription factors (TFs), which regulate specific sets of genes under distinct conditions. These regulatory interactions form transcriptional regulatory networks (TRNs), which can be further broken down into transcriptional regulatory sub-networks (TRSNs) centered around individual TFs. TRSNs are more stable and practical for analysis, making them ideal for studying gene regulation under specific conditions. Condition-Oriented Regulatory Networks (CORN, https://qinlab.sysu.edu.cn/corn/home) is a comprehensive library of condition-based TRSNs, including those induced by natural compounds, small molecules, </description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-07-15T11:05:45.898Z</modification><creation>2026-07-03T03:15:55.214Z</creation></dates><accession>S-EPMC12017979</accession><cross_references><pubmed>40270708</pubmed><doi>10.1016/j.csbj.2025.04.003</doi></cross_references></HashMap>