HyperBeta

HyperBeta identifies and visualizes beta-sheet structures in coarse-grained molecular dynamics simulations generated with the MARTINI force field and GROMACS to analyze self-assembly and beta-sheet formation dynamics.

Key Features:

• Hyper-Graph Algorithm: Employs a hyper-graph-based algorithm to identify beta-sheet formations and explore complex interactions during self-assembling processes involving amino acids and polypeptides.
• MARTINI/GROMACS Integration: Directly processes coarse-grained molecular dynamics trajectories produced with the MARTINI force field in GROMACS for analysis of beta-sheet formation.
• Real-Time 3D Visualization Engine: Provides real-time high-quality 3D rendering for visualization of spatial relationships, distances, and depth dynamics among peptides and beta-sheet structures.
• Comprehensive Analysis and Statistics: Generates analysis metrics and statistical information for investigating the kinetics and dynamics of beta-sheet formation.

Scientific Applications:

• Tissue Engineering: Enables analysis of beta-sheet-mediated self-assembly relevant to the design and development of high-performance biomaterials for tissue engineering.
• Pathology Research: Supports investigation of molecular mechanisms involving beta-sheet structures in pathologies such as Alzheimer’s disease.

Methodology:

Applies a hyper-graph-based algorithm to coarse-grained MD trajectories from GROMACS using the MARTINI force field, combined with real-time 3D rendering and statistical analysis of identified beta-sheet formations.