Protinfo PPC

Protinfo PPC predicts atomic-level structures of interacting proteins from amino acid sequences by identifying homologous experimental structures via the interolog method and producing PDB-format atomic models.

Key Features:

• Interolog Methodology: Identifies experimentally determined protein complex structures homologous to input amino acid sequences using the interolog approach.
• Template-Based Modeling: Generates comparative, full atomic-level models from homologous templates and models insertion and deletion regions.
• Support for Multimeric Complexes: Models both homo-multimers and hetero-multimers to represent different complex stoichiometries.
• Benchmarking and Accuracy: Has been benchmarked to produce accurate structural predictions suitable for detailed structural analysis.

Scientific Applications:

• Protein Complex Interaction Prediction: Predicts three-dimensional structures of interacting proteins to elucidate molecular interfaces and conformations.
• Interaction Site Identification: Identifies potential interaction sites within modeled complexes for studies of protein-protein interactions.
• Structure–Function and Dynamics Studies: Supports analysis of complex formation, structure–function relationships, and interaction dynamics.

Methodology:

Identify homologous experimental structures via the interolog method and generate full atomic-level representations by template-based comparative modeling, outputting models in PDB format.