🤖 AI Analysis

Final verdict: SAFE

The package exhibits minimal risks across all assessed categories with only slightly concerning metadata, suggesting it is likely safe to use.

Low network, shell, obfuscation, and credential risks.
Metadata shows some low-effort signs but does not indicate malicious intent.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell executions detected, indicating no direct system command execution.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows some low-effort signs and lacks a linked GitHub repository, but there's not enough evidence to strongly suspect malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

⚠ Typosquatting score 3.0

Possible typosquat of: openai

"OpenMM" is 2 edit(s) from "openai"

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Peter Eastman" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with OpenMM

Create a molecular dynamics simulation tool using the OpenMM Python package. Your goal is to simulate the behavior of a simple protein molecule over time, focusing on understanding its conformational changes and energy dynamics. This tool will be useful for educational purposes and as a starting point for more complex simulations in biochemistry and biophysics.

### Project Outline:
1. **Setup**: Install OpenMM via pip and ensure you have a basic understanding of molecular structures and their representation in computational models.
2. **Molecule Definition**: Define a simple protein molecule, such as a short peptide chain, using the PDB file format. Use OpenMM’s topology and system objects to load and prepare your molecule for simulation.
3. **Force Field Setup**: Configure the force field parameters for your molecule. This includes setting up bonded interactions (bonds, angles, dihedrals) and non-bonded interactions (electrostatics, van der Waals forces).
4. **Simulation Engine**: Implement a molecular dynamics engine using OpenMM's integrator classes. Set up initial conditions including temperature, pressure, and velocity distribution.
5. **Visualization**: Integrate a visualization component that allows real-time or post-simulation viewing of the molecule's dynamics. PyMOL or NGLView can be used for this purpose.
6. **Analysis Tools**: Develop basic analysis tools within your application to calculate properties like root mean square deviation (RMSD), radius of gyration, and potential energy over the course of the simulation.
7. **User Interface**: Create a simple command-line interface or a graphical user interface (GUI) using PyQt or Tkinter to allow users to input parameters and visualize results.
8. **Documentation and Testing**: Write comprehensive documentation explaining each part of the code and how to run the simulation. Ensure thorough testing of all components.

### Suggested Features:
- Ability to load different PDB files and adjust force field parameters accordingly.
- Real-time visualization updates during the simulation.
- Saving simulation snapshots at regular intervals for further analysis.
- Comparative analysis tools allowing side-by-side comparison of different simulation runs.
- Export options for simulation data in various formats (CSV, JSON, etc.).

### Utilizing OpenMM:
- Use OpenMM's `app.PDBFile` to read PDB files.
- Leverage `app.ForceField` to set up the force field.
- Employ `mm.System` and `mm.Integrator` classes for defining the system and running the simulation.
- Utilize `app.Simulation` class to combine all components and execute the simulation.
- For visualization, consider using OpenMM's built-in reporters or integrate third-party visualization libraries.

This project not only showcases the power of OpenMM but also provides a practical learning tool for students and researchers interested in molecular dynamics.