3D-pssm

3D-pssm predicts protein folds and detects remote homologues by integrating sequence profiles with structural information in a three-dimensional position-specific scoring matrix framework.

Key Features:

• Integrated Sequence and Structural Profiles: Combines one-dimensional (1D) and three-dimensional (3D) sequence profiles with secondary structure and solvation potential information to improve fold recognition.
• SCOP-Based Structural Alignment: Utilizes structural alignments derived from the SCOP database to establish residue equivalences across structurally related protein families.
• Superfamily-Based Profile Expansion: Extends standard sequence searches into large superfamily-based multiple alignments to capture distant evolutionary relationships.
• Secondary Structure and Solvation Scoring: Incorporates secondary structure matching and solvation potentials to refine fold recognition accuracy.

Scientific Applications:

• Remote Homology Detection: Identifies distant evolutionary relationships between proteins not detectable by conventional sequence alignment methods.
• Protein Fold Recognition: Supports prediction and classification of protein structural folds.
• Genome Annotation: Assists functional annotation of proteins in newly sequenced genomes through detection of structural homologues.

Methodology:

The method derives residue equivalences from SCOP structural alignments, extends sequence alignments into superfamily-based profiles, generates a three-dimensional position-specific scoring matrix (3D-PSSM), and evaluates protein folds using scoring functions that incorporate sequence profiles, secondary structure matching, and solvation potentials.