Balamurugan Bhagavathimuthu, Roshan M N A Mohd, Michael Daliah, Ambaree Majumder, Divya Subramanyam, Keerthana Hanumanthagowda, Seemanthini Mahadev, Sekar Kanagaraj
Bioinformatics Centre, Indian Institute of Science, Bangalore 560 012, India.
In Silico Biol. 2006;6(3):229-35.
Structure prediction methods aim to identify the relationship between the amino acid sequence of an unknown protein and information comprised in databases of known protein structures. Towards this end, we created a database by combining the amino acid sequences and the corresponding three-dimensional atomic coordinates for all the 25% non-redundant protein chains available in the Protein Data Bank. It contains information about the peptide fragments that are 5 to 10 residues long. In addition, options are provided for the users to visualize the individual motifs and the superposed fragments in the client machine. Further, useful functionalities areprovided to look for similar sequence motifs in all the sequence databases like PDB, 90% non-redundant protein chains, Genome database, PIR and Swiss-Prot. The database is being updated at regular intervals and the same can be accessed over the World Wide Web interface at the following URL: http://pranag.physics.iisc.ernet.in/sms/.
结构预测方法旨在确定未知蛋白质的氨基酸序列与已知蛋白质结构数据库中所包含信息之间的关系。为此，我们通过合并蛋白质数据库中所有25%的非冗余蛋白质链的氨基酸序列和相应的三维原子坐标创建了一个数据库。它包含有关长度为5至10个残基的肽片段的信息。此外，还为用户提供了在客户端机器上可视化单个基序和叠加片段的选项。此外，还提供了有用的功能，用于在所有序列数据库（如蛋白质数据库、90%的非冗余蛋白质链、基因组数据库、蛋白质信息资源库和瑞士蛋白质数据库）中查找相似的序列基序。该数据库会定期更新，可通过以下网址的万维网界面访问：http://pranag.physics.iisc.ernet.in/sms/ 。
