POODLE-S：一种通过使用物理化学特征和特定位置评分矩阵的简化氨基酸集来预测蛋白质无序状态的网络应用程序。
POODLE-S: web application for predicting protein disorder by using physicochemical features and reduced amino acid set of a position-specific scoring matrix.
作者信息
Shimizu Kana, Hirose Shuichi, Noguchi Tamotsu
机构信息
Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, 2-42 Aomi, Koto-ku, Tokyo 135-0064, Japan.
出版信息
Bioinformatics. 2007 Sep 1;23(17):2337-8. doi: 10.1093/bioinformatics/btm330. Epub 2007 Jun 28.
UNLABELLED
Protein disorder is characterized by a lack of a stable 3D structure, and is considered to be involved in a number of important protein functions such as regulatory and signalling events. We developed a web application, the POODLE-S, which predicts the disordered region from amino acid sequences by using physicochemical features and reduced amino acid set of a position-specific scoring matrix.
AVAILABILITY
POODLE-S is available from http://mbs.cbrc.jp/poodle/poodle-s.html and can be used by both academic and commercial users.
未标记
蛋白质无序的特征是缺乏稳定的三维结构，并且被认为参与许多重要的蛋白质功能，如调节和信号传导事件。我们开发了一个网络应用程序POODLE-S，它通过使用物理化学特征和位置特异性评分矩阵的简化氨基酸集，从氨基酸序列预测无序区域。
可用性
POODLE-S可从http://mbs.cbrc.jp/poodle/poodle-s.html获得，学术和商业用户均可使用。
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