HorA

HorA identifies likely homologs of a query protein structure by integrating sequence profiles and spatial structural similarity to distinguish homologous from analogous proteins.

Key Features:

• Integration of Sequence and Structural Data: Combines sequence information derived from profile methods with structural information obtained through spatial similarity measures to improve homolog detection.
• Advanced Computational Techniques: Employs state-of-the-art computational algorithms to prioritize biologically meaningful relationships over purely 3D-geometric similarity.
• High Sensitivity for Remote Homologs: Detects remote homologs with high sensitivity, identifying approximately 90% of such homologs as defined in the manually curated SCOP (Structural Classification of Proteins) database.

Scientific Applications:

• Comparative Protein Analysis: Distinguishes homologous from analogous relationships to inform evolutionary analyses and comparative structural studies.
• Function Prediction: Aids functional annotation by revealing homologous relationships, including remote homologs, that indicate shared biochemical or structural roles.
• Identification of Novel Protein Families: Facilitates discovery of previously unrecognized homologous links that support definition of new protein families.

Methodology:

Integrates sequence profiles (from profile methods) with spatial similarity measures of protein structures using state-of-the-art computational algorithms.