PHI-DAC：通过二面角守恒构建的蛋白质同源性数据库。
PHI-DAC: protein homology database through dihedral angle conservation.
作者信息
Maatuk Noa, Glantz-Gashai Yitav, Rotman Maya, Baydany Meirav, Fonar Gennadiy, Shechvitz Amir, Shemer Karin, Peleg Aviva, Reuveni Eli, Samson Abraham O
机构信息
Faculty of Medicine in the Galilee, Bar Ilan University, 13100 Safed, Israel.
出版信息
Bioinformatics. 2015 Jan 15;31(2):292-4. doi: 10.1093/bioinformatics/btu617. Epub 2014 Sep 23.
UNLABELLED
Finding related conformations in the Protein Data Bank is essential in many areas of bioscience. To assist this task, we designed a dihedral angle database for searching protein segment homologs. The search engine relies on encoding of the protein coordinates into text characters representing amino acid sequence, φ and ψ dihedral angles. The search engine is advantageous owing to its high speed and interactive nature and is expected to assist scientists in discovering conformation homologs and evolutionary kinship. The search engine is fast, with query times lasting a few seconds, and freely available at http://tarshish.md.biu.ac.il/∼samsona.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
未标注
在生物科学的许多领域中，在蛋白质数据库中查找相关构象至关重要。为协助完成这项任务，我们设计了一个二面角数据库来搜索蛋白质片段同源物。该搜索引擎依赖于将蛋白质坐标编码为代表氨基酸序列、φ和ψ二面角的文本字符。该搜索引擎因其高速和交互性而具有优势，有望帮助科学家发现构象同源物和进化亲缘关系。该搜索引擎速度很快，查询时间只需几秒钟，可在http://tarshish.md.biu.ac.il/∼samsona免费获取。
补充信息
补充数据可在《生物信息学》在线版获取。
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