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SMS: sequence, motif and structure--a database on the structural rigidity of peptide fragments in non-redundant proteins
Authors:Balamurugan Bhagavathimuthu  Roshan M N A Mohd  Michael Daliah  Ambaree Majumder  Divya Subramanyam  Keerthana Hanumanthagowda  Seemanthini Mahadev  Sekar Kanagaraj
Affiliation:Bioinformatics Centre, Indian Institute of Science, Bangalore 560 012, India.
Abstract: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/.
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