🤖 AI Analysis

Final verdict: SAFE

The package is considered safe based on the analysis. It primarily performs network operations as expected for its functionality, and there are no indications of malicious behavior.

Network risk is moderate due to external API calls.
Low risk scores in shell execution, obfuscation, and credential handling.

Per-check LLM notes

Network: The package makes network calls which seem to be part of its intended functionality, fetching data from a specific URL with parameters.
Shell: No shell execution patterns were detected.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintenance and metadata quality indicators, but lacks clear malicious signals.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

tries) self._client = httpx.Client(base_url=base_url, timeout=timeout, transport=transport)
_expected_shape(): resp = httpx.get( SUMMARY_URL, params={"id": GOT2, "type": "s
IKLMNPQRSTVWY" * 3 resp = httpx.get( SUMMARY_URL, params={"id": bogus, "type": "
ive files on AFDB. resp = httpx.get( SUMMARY_URL, params={"id": GOT2, "type": "s
endswith(".cif") model = httpx.get(model_url, timeout=60, follow_redirects=True) assert mod
f_url != model_url conf = httpx.get(conf_url, timeout=60, follow_redirects=True) assert conf

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ 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 6.0

3 maintainer concern(s) found

Author name is missing or very short
Author "" 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 afdb-query

Develop a mini-application called 'ProteinStructureExplorer' using Python's 'afdb-query' package. This tool aims to provide researchers and students with a simple yet powerful interface to query and visualize protein structures from the AlphaFold database based on sequence information.

### Features:
1. **Sequence Input:** Users should be able to input a protein sequence either by pasting it directly into the application or uploading a FASTA file.
2. **Query Execution:** Once the sequence is provided, the application will use 'afdb-query' to search the AlphaFold database for matching protein structures.
3. **Results Display:** After querying, the application should display relevant results such as the protein name, UniProt ID, and confidence score of the structure prediction.
4. **Visualization:** Implement a feature that allows users to visualize the 3D structure of the selected protein using a library like PyMOL or similar visualization tools.
5. **Export Option:** Provide an option for users to export the visualized 3D structure as a PDB file for further analysis or sharing.
6. **User Interface:** Design a user-friendly graphical interface using a framework like PyQt or Tkinter to make the application accessible and easy to use.

### Utilization of 'afdb-query':
- Use 'afdb-query' to perform the actual query against the AlphaFold database. Ensure that you handle API keys or any necessary authentication properly if required by the package.
- Explore the documentation of 'afdb-query' to understand how to parse the response and extract useful information about the protein structures.
- Consider implementing error handling for cases where no results are found or when there are issues with the input sequence.

### Additional Considerations:
- Ensure that the application is well-documented, including instructions on how to install dependencies and run the application.
- Add comments and docstrings in your code to improve readability and maintainability.
- Test your application thoroughly with various sequences to ensure reliability and robustness.