p53

p53 predicts the effects of mutations in the p53 gene to assess their impact on protein stability and functional activity.

Key Features:

• Novel parameter integration: Integrates novel parameters with previously established parameters to evaluate p53 mutations.
• Structural and sequence feature integration: Combines structural features with sequence properties when assessing mutational effects.
• Stability measure calculation: Calculates a stability measure for mutated p53 structures using molecular modeling techniques to quantify structural impact.
• Severity scoring system: Assigns a severity score that classifies each mutation as deleterious or nondeleterious based on predicted impact.

Scientific Applications:

• Cancer research and oncogenesis: Supports studies of p53 mutations in cancer, noting that p53 mutations are implicated in over 50% of human cancers.
• Predictive performance evaluation: Provides reported predictive accuracy of 77% overall and 88% for breast cancer mutations affecting WAF1 promoter binding.

Methodology:

Integrates novel and established parameters, combines structural features with sequence properties, calculates a stability measure of mutated p53 structures via molecular modeling techniques, and assigns severity scores classifying mutations as deleterious or nondeleterious.