マズロペプチン

Multi tool use(−)-マズロペプチン発色団メタノール付加体
|
---|
 |
IUPAC名 (7R,14R,15S,16R,22R)-7,16-ジヒドロキシ-11,22-ジメトキシ-15-[[3α,4α-ジヒドロキシ-4-メチル-5α-[(2-ヒドロキシ-3,6-ジメチルベンゾイル)アミノ]テトラヒドロ-2H-ピラン-2β-イル]オキシ]-25-クロロ-4-アザ-13-オキサテトラシクロ[12.7.3.18,12.015,19]ペンタコサン-1,8(25),9,11,18-ペンタエン-20,23-ジイン-5-オン
|
識別情報
|
---|
PubChem
| 44249557
|
特性
|
---|
化学式
| C40H43ClN2O12 |
モル質量
| 779.23 g mol−1 |
特記なき場合、データは常温 (25 °C)・常圧 (100 kPa) におけるものである。
|
マズロペプチン (maduropeptin) は、Actinomadura maduraeから単離された色素タンパク質(英語版)であり、タンパク質 (MdpA) と発色団(英語版)(クロモフォア)の1対1の混合物から成る[1]。発色団は不安定であり付加体のみが単離できる[2]。発色団はエンジイン構造を持つ抗生物質であり、抗がん活性も示す。
脚注
^ Hanada M, Ohkuma H, Yonemoto T, Tomita K, Ohbayashi M, Kamei H, Miyaki T, Konishi M, Kawaguchi H, Forenza S (1991). “Maduropeptin, a complex of new macromolecular antitumor antibiotics”. J. Antibiot. (Tokyo) 44 (4): 403-414. doi:10.7164/antibiotics.44.403. PMID 2032949.
^ Komano K, Shimamura S, Norizuki Y, Zhao D, Kabuto C, Sato I, Hirama M (2009). “Total synthesis and structure revision of the (−)-maduropeptin chromophore”. J. Am. Chem. Soc. 131 (34): 12072-12073. doi:10.1021/ja905397p. PMID 19655742.
外部リンク
- Enediyne antitumor antibiotic maduropeptin biosynthesis featuring a C-methyltransferase that acts on a CoA-tethered aromatic substrate
 | この項目は、化学に関連した書きかけの項目です。この項目を加筆・訂正などしてくださる協力者を求めています(プロジェクト:化学/Portal:化学)。 |
k CfxT,rigV38 lan OP0a9bTbB8H e5dAzyzOd5v64bI3A5lMIeKc3ZLn5XbKTmYd,AOchnmAEe
Popular posts from this blog
Ramiro Burr's New Blog - to go back: www.ramiroburr.com From Latin rock to reggaeton, boleros to blues,Tex-Mex to Tejano, conjunto to corridos and beyond, Ramiro Burr has it covered. If you have a new CD release, a trivia question or are looking for tour info, post a message here or e-mail Ramiro directly at: musicreporter@gmail.com Top Tejano songwriter Luis Silva dead of heart attack at 64 By Ramiro Burr on October 23, 2008 8:40 AM | Permalink | Comments (12) | TrackBacks (0) UPDATE: Luis Silva Funeral Service details released Visitation 4-9 p.m. Saturday, Rosary service 6 p.m. Saturday at Porter Loring, 1101 McCullough Ave Funeral Service 10:30 a.m. Monday St. Anthony De Padua Catholic Church, Burial Service at Chapel Hills, 7735 Gibbs Sprawl Road. Porter Loring (210) 227-8221 Related New Flash: Irma Laura Lopez: long time record promoter killed in accident NewsFlash: 9:02 a.m. (New comments below) Luis Silva , one of the most well-known ...
1 I having trouble getting my ResourceDictionary.MergedDictionaries to load from app.xaml. My WPF app has a static class with a Main defined and startup object set to it. Within Main I created an instance of App and run it. The override OnStartup fires and the mainwindow.cs InitializeComponent gives the error "Message "Cannot find resource named 'MaterialDesignFloatingActionMiniAccentButton'. If I put the resources in the mainwindow.xaml everything is fine, but I wanted them to load at the app level so I they are not in each page. Any help appreciated. public partial class App protected override void OnStartup(StartupEventArgs e) base.OnStartup(e); var app = new MainWindow(); var context = new MainWindowViewModel(); app.DataContext = context; app.Show(); from the Main.. var app = new App(); app.Run(); app.xaml.. <Application x:Class="GS.Server.App" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:...
up vote 2 down vote favorite There is a clear pattern that show for two separate subsets (set of columns); If one value is missing in a column, values of other columns in the same subset are missing for any row. Here is a visualization of missing data My tries up until now, I used ycimpute library to learn from other values, and applied Iterforest. I noted, score of Logistic regression is so weak (0.6) and thought Iterforest might not learn enough or anyway, except from outer subset which might not be enough? for example the subset with 11 columns might learn from the other columns but not from within it's members, and the same goes for the subset with four columns. This bar plot show better quantity of missings So of course, dealing with missings is better than dropping rows because It would affect my prediction which does contain the same missings quantity relatively. Any better way to deal with these ? [EDIT] The nullity pattern is confirmed: machine-learning cor...