DynaMut

DynaMut analyzes and predicts the impact of mutations on protein dynamics and stability using normal mode approaches.

Key Features:

• Normal Mode Approaches: Implements two well-established normal mode methods to sample conformations and assess the impact of mutations on protein dynamics.
• Vibrational Entropy Changes: Evaluates how mutations influence vibrational entropy changes to provide insights into protein stability.
• Graph-Based Signatures Integration: Combines graph-based signatures with normal mode dynamics to generate consensus predictions regarding mutation impacts on protein stability.
• Validation and Performance: Demonstrated predictive performance with correlation up to 0.70 in blind tests and statistical significance P < 0.001.

Scientific Applications:

• Assessing mutation effects on stability and flexibility: Predicts how missense mutations alter protein stability and conformational flexibility.
• Linking dynamics to function: Analyzes molecular motions to interpret potential functional consequences of mutations.

Methodology:

Implements two normal mode methods to sample conformations and assess mutation impacts, evaluates vibrational entropy changes, and integrates graph-based signatures with normal mode dynamics to produce consensus predictions.