1. Motif Space Database Design Kiranjit Sidhu

2. 2 Outline  Schema Design  Content of Database  Functionality  Future Plans

3. 3 Sample PDB File  Sample PDB File Sample PDB File  Each PDB File represented as a text file (~ 60K Lines)  Inefficient for pattern matching  Relational Database required for most efficient solution

4. 4 Structure of Database  DB divided into two major components: Protein Data Motif (Occurrence) Data  Protein Data Obtained from PDB Files (Protein Data Bank) Derived Data  Motif Data Obtained from Luke’s FFSM technique Derived Data

5. 5 Schema Design

6. 6 Schema Design - Protein

7. 7 Schema Design - Motif

8. 8 Tools Used  Obtaining Data Perl Scripts  Database: SQL Server 2000 and SQL Server 2005 T-SQL (Bulk Import Data)

9. 9 Obtaining Data PDB FileTemp Tables (T-SQL) T-SQL Procedures CSV File Extract Import Final DB Convert and Derive

10. 10 Uploading Protein Data  Input dataset: ~ 70,000 PDB/Chain Combinations  Entries in tables: E.g. Approx. 800 Million Rows in the proteinchaindistance table  Initial version imported 10 PDB files in 1 day  Current version: under 3 minutes

11. 11 Current Functionality  Protein (PDB) data has been completely uploaded into both: Production Database (MotifSpace) Development Database (MotifSpaceDev)  Visualize protein structure using data from database (data available)  Data can be obtained from Server using SOAP or web services.  Basic Queries such as Different PDBs a specific motif occurs in? Histograms to compute statistics.

12. 12 Demo