GPU.proton.DOCK

GPU.proton.DOCK predicts protein-protein interactions by performing ultrafast docking simulations that explicitly account for electrostatic interactions and protonation equilibria to improve docking accuracy.

Key Features:

• Electrostatic and protonation self-consistency: Self-consistent treatment of electrostatic interactions and protonation state equilibria between docking partners.
• GPU acceleration: Parallel computing on GPU supercomputers to accelerate Fast Fourier Transform (FFT) bottlenecks and electrostatic field computations.
• PDB input/output: Accepts atomic coordinate files in PDB format and outputs docked complexes in PDB format.
• Charge and ionogenic group customization: Allows addition of non-polypeptide charges, extra ionogenic groups with intrinsic pK(a) values, and fixed ions.
• In silico charge mutagenesis workflows: Provides workflows to explore effects of charge mutations on docking and interaction energetics.
• Ultrafast docking simulations: Implements high-throughput docking suitable for large-scale structural bioinformatics and systems biology studies.

Scientific Applications:

• Drug discovery: Characterizing protein-protein interfaces and evaluating interaction energetics for therapeutic target identification.
• Structural bioinformatics: Large-scale docking studies and structural characterization of protein complexes.
• Systems biology and molecular networks: Integrating physical interaction models with molecular network analyses to study complex biological systems.
• Mutation effect analysis: Investigating how charge mutations and altered protonation states affect protein-protein interactions and disease mechanisms.

Methodology:

Ultrafast docking simulations with GPU parallelization; Fast Fourier Transform (FFT) acceleration and electrostatic field computations; self-consistent treatment of electrostatic interactions and protonation equilibria; optional inclusion of non-polypeptide charges, ionogenic groups with intrinsic pK(a) values, and fixed ions; input/output in PDB format.