Pteros

Pteros provides a high-performance C++ and Python library for molecular modeling and analysis of molecular dynamics trajectories.

Key Features:

• Language Support: Supports C++ and Python with similar interfaces since version 2.0.
• Asynchronous Trajectory Reading: Implements asynchronous reading of trajectories to efficiently handle large molecular dynamics datasets.
• Parallel Execution of Analysis Tasks: Enables parallel execution of analysis tasks to accelerate processing of trajectory data.
• Analysis Plugins: Provides analysis plugins written in C++ or Python that offer a high level of abstraction for prototyping and implementing complex analysis algorithms.

Scientific Applications:

• Structural Biology: Analyze conformational changes and molecular interactions from molecular dynamics trajectories.
• Computational Chemistry: Compute trajectory-derived properties and predict molecular behavior under different conditions.
• Bioinformatics: Integrate dynamic structural data from simulations into downstream bioinformatics analyses.

Methodology:

Uses asynchronous trajectory reading, parallel execution of analysis tasks, and extensible analysis plugins to process molecular dynamics trajectories.