StructureLab

StructureLab provides integrated computational analysis and database management for RNA sequence structure prediction and comparative analysis of computationally generated structural ensembles.

Key Features:

• Algorithm Integration: Integrates multiple algorithms within a single system to enable combined analyses of RNA structure predictions.
• Heterogeneous Computing: Leverages different computer architectures through a heterogeneous computing approach to address computational challenges.
• Database Management of Structural Ensembles: Manages and analyzes large databases comprising numerous computationally generated RNA structures.
• Extensible Algorithm Support: Supports incorporation of existing programs and addition or optimization of newly developed algorithms for specific hardware platforms.
• Implementation Language: Software architecture implemented in Common Lisp.
• Supported Platforms: Operates on SUN or SGI Unix workstations.
• Configurable Distributed Architecture: Runs across a network of interconnected machines with configurations adjustable via reconfigurable tables.

Scientific Applications:

• RNA structure determination: Facilitates determination and comparative analysis of RNA sequence structures from computational predictions.
• Ensemble analysis: Enables multifaceted examination of structural ensembles to provide comprehensive insights into RNA structural configurations.
• Integration with experimental biology: Supports alignment of computational structural results with experimental data to enhance interpretation of RNA structures.

Methodology:

Manages and analyzes large databases of computationally generated structures, integrates multiple algorithms within a heterogeneous computing framework, incorporates and optimizes existing and newly developed algorithms for specific hardware, and is implemented in Common Lisp to run on SUN or SGI Unix workstations across a network configurable via reconfigurable tables.