PSS-SQL

PSS-SQL provides a declarative SQL-like language to perform protein secondary structure similarity searches within databases to identify proteins with comparable secondary structural motifs.

Key Features:

• Secondary Structure Representation: Represents proteins by their secondary structure elements to capture local construction and overall fold features relevant to function and interactions.
• Integrated Query Language: Embeds structural similarity search capabilities directly into database queries using a declarative, SQL-like language.
• User-Specified Queries: Allows specification of target secondary structure criteria within queries to retrieve proteins that match those structural definitions.

Scientific Applications:

• Protein Engineering: Identify proteins with similar secondary structural motifs to guide design and modification of protein scaffolds.
• Drug Design: Retrieve proteins with comparable secondary structural features that may inform target selection and hypothesis generation for ligand interactions.
• Molecular Biology: Support analysis of structure–function relationships by locating proteins sharing secondary structure characteristics.
• Evolutionary Analysis: Aid discovery of structural analogs and study evolutionary relationships among proteins based on secondary structure similarity.

Methodology:

Translates user-defined queries about protein secondary structures into database searches that return proteins meeting those structural criteria via an embedded SQL-like declarative language.