活細胞為了執行許多複雜的功能抵抗外在環境的變化，會透過細胞內部相互合作的轉錄因子組合成複合物調控基因表現。酵母菌的硫代謝路徑已經被生物學家研究出來，Met4活化子會結合其它轉錄因子共同合作調控硫代謝路徑中的基因，產生硫代謝路徑中需要的酶；酵母菌的呼吸作用也需要Hap2-Hap3-Hap4-Hap5複合物調控呼吸基因的表現；酵母菌可以利用多種營養源產生能量，當酵母菌使用葡萄糖作為營養源的時候，會以Mig1-Tup1-Ssn6複合物抑制參與其它代謝功能的基因表現；在酵母菌中參與細胞週期的基因是由Fkh1-Mcm1-Ndd1複合物調控。這些實際上的生物例子都說明了轉錄調控會由多個相互合作的轉錄因子一起調控基因。目前文獻中可以查詢酵母菌轉錄調控的資料庫有YEASTRACT和YCRD，YEASTRACT只能查詢單個轉錄因子調控基因資料，YCRD只能查詢合作轉錄因子對調控基因資料，因此，這兩個資料庫皆無法查詢兩個以上合作轉錄因子一起調控的基因資料，因此我們開發了一個資料庫，為了解決這個問題，我們提供二到五個合作轉錄因子一起調控目標基因的資料，幫助生物學家研究轉錄調控。我們的資料是從多個資料庫收集再經整理而來，這些資料庫有YEASTRACT、YCRD、SGD、BioGRID、YeastNet v3等；我們會將收集來的資料整理成模組資料，作為資料庫查詢使用；資料庫以人性化及容易操作的網站呈現，提供使用者查詢及瀏覽等功能搜尋我們資料庫的資料。再來我們會以酵母硫代謝路徑和酵母菌的呼吸作用等已知知識，說明我們網站的生物意義，從分析結果可以看出我們的資料庫查詢結果符合實際的轉錄調控。相信我們的資料庫將有助於生物學家進行轉錄調控的研究。我們的資料庫網址：http://cosbi4.ee.ncku.edu.tw/YGMD/。

The regulation of gene transcription is gene activity in response to environmental change. A living cell can coordinate the activities of a set of genes by organizing the genome into gene modules. The cooperative TFs (transcription factors) which several transcription factors assemble together forming complex regulates targeting genes. Therefore, studying transcriptional regulatory modules is a useful work for elucidating cell mechanism. Nowadays, there have two databases which are YEASTRACT and YCRD can query regulatory data. YEASTRACT is a curated repository of regulatory associations between only one TF and target genes. YCRD is a repository of regulatory associations between cooperative TFs and target genes. However, only considering one TF or cooperative TFs is not enough because more than two TFs form a complex to co-regulate target genes generally. If there exist a database of regulatory associations between TFs and target genes, it may be helpful for studying transcription. That is why we construct database of regulatory associations between cooperative TFs and target genes. Our database can find target genes regulated by cooperative TFs between two and five transcription factors which have 33,024 data in our database. We provide a humanized web query function for people. It has easily operational interface and useful analysis results under search result page. Therefore, we believe that our database helps biologists to study transcriptional regulation mechanisms.

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