PredictProtein Open

PredictProtein Open predicts protein structural and functional properties from amino acid sequences to support analyses including secondary structure, solvent accessibility, nuclear localization signals, and intrinsically disordered regions.

Key Features:

• Secondary Structure Prediction: Uses Rost Lab's profphd to predict protein secondary structure from amino acid sequences.
• Solvent Accessibility Prediction: Predicts residue-level solvent accessibility to identify surface-exposed versus buried regions.
• Nuclear Localization Signal (NLS) Prediction: Identifies nuclear localization signals using the predictnls method.
• Intrinsically Disordered Regions Analysis: Detects intrinsically disordered regions using the norsnet method.

Scientific Applications:

• Whole Organism Protein Disorder Analysis: Analysis of protein disorder across entire proteomes to assess distribution and functional roles of disordered regions.
• Single Sequence Variant Impact on Human Genome: Systematic analysis of all possible single sequence variants in protein-coding regions of the human genome to evaluate potential effects on protein function.

Methodology:

Implements Rost Lab prediction methods, explicitly including profphd for secondary structure, predictnls for nuclear localization signals, and norsnet for intrinsically disordered region prediction.