SolupHred

SolupHred predicts pH-dependent aggregation propensity of intrinsically disordered proteins by accounting for pH effects on protein lipophilicity and net charge.

Key Features:

• Phenomenological Model: Employs a phenomenological model that integrates solution pH effects on protein lipophilicity and charge to estimate aggregation propensity of IDPs.
• pH-Dependent Prediction: Predicts how changes in environmental pH modulate intrinsic aggregation propensity and solubility of intrinsically disordered proteins (IDPs).
• Model Validation: The model has been validated to anticipate solubility changes across different IDPs.

Scientific Applications:

• Understanding Protein Aggregation: Supports studies of mechanisms driving protein aggregation and misfolding under varying pH conditions.
• Drug Discovery and Development: Informs design strategies by predicting IDP behavior across physiological and pathological pH ranges.
• Biophysical Research: Provides quantitative predictions for investigations of IDP solubility and aggregation in biophysical experiments.

Methodology:

A phenomenological theoretical framework models pH-dependent changes in protein lipophilicity and charge to predict IDP solubility and aggregation propensity; the model has been validated against observed solubility changes in IDPs.