完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chou, Chih-Hung | en_US |
dc.contributor.author | Chang, Wen-Chi | en_US |
dc.contributor.author | Chiu, Chih-Min | en_US |
dc.contributor.author | Huang, Chih-Chang | en_US |
dc.contributor.author | Huang, Hsien-Da | en_US |
dc.date.accessioned | 2014-12-08T15:09:12Z | - |
dc.date.available | 2014-12-08T15:09:12Z | - |
dc.date.issued | 2009-07-01 | en_US |
dc.identifier.issn | 0305-1048 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1093/nar/gkp264 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/7023 | - |
dc.description.abstract | Synthetic Biology, a multidisciplinary field, is growing rapidly. Improving the understanding of biological systems through mimicry and producing bio-orthogonal systems with new functions are two complementary pursuits in this field. A web server called FMM (From Metabolite to Metabolite) was developed for this purpose. FMM can reconstruct metabolic pathways form one metabolite to another metabolite among different species, based mainly on the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and other integrated biological databases. Novel presentation for connecting different KEGG maps is newly provided. Both local and global graphical views of the metabolic pathways are designed. FMM has many applications in Synthetic Biology and Metabolic Engineering. For example, the reconstruction of metabolic pathways to produce valuable metabolites or secondary metabolites in bacteria or yeast is a promising strategy for drug production. FMM provides a highly effective way to elucidate the genes from which species should be cloned into those microorganisms based on FMM pathway comparative analysis. Consequently, FMM is an effective tool for applications in synthetic biology to produce both drugs and biofuels. This novel and innovative resource is now freely available at http://FMM.mbc.nctu.edu.tw/. | en_US |
dc.language.iso | en_US | en_US |
dc.title | FMM: a web server for metabolic pathway reconstruction and comparative analysis | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1093/nar/gkp264 | en_US |
dc.identifier.journal | NUCLEIC ACIDS RESEARCH | en_US |
dc.citation.volume | 37 | en_US |
dc.citation.issue | en_US | |
dc.citation.spage | W129 | en_US |
dc.citation.epage | W134 | en_US |
dc.contributor.department | 生物科技學系 | zh_TW |
dc.contributor.department | 生物資訊及系統生物研究所 | zh_TW |
dc.contributor.department | 分子醫學與生物工程研究所 | zh_TW |
dc.contributor.department | Department of Biological Science and Technology | en_US |
dc.contributor.department | Institude of Bioinformatics and Systems Biology | en_US |
dc.contributor.department | Institute of Molecular Medicine and Bioengineering | en_US |
dc.identifier.wosnumber | WOS:000267889100024 | - |
dc.citation.woscount | 19 | - |
顯示於類別: | 期刊論文 |