An ultra-fast package for computing Solvent Accessible Surface Area (SASA/ASA) for proteins
rust-sasa-python is a Python library for computing SASA (Solvent Accessible Surface Area) far faster than biopython and other packages. See RustSasa for more info.
You can now utilize RustSasa within Python to speed up your scripts! Take a look at rust-sasa-python!
Installation:
pip install rust-sasa-python
Example:
from rust_sasa_python import calculate_sasa_at_residue_level
residue_sasa_values = calculate_sasa_at_residue_level("path_to_pdb_file.pdb") # Also supports mmCIF files!
See full docs here
Benchmarks were performed on an M2 Apple Mac with 8GB of RAM and 8 Cores with the protein AF-A0A2K5XT84-F1 (AlphaFold).
Biopython: ~150ms
Freesasa: ~90ms
RustSASA: ~40ms
FAQs
An ultra-fast package for computing Solvent Accessible Surface Area (SASA/ASA) for proteins
We found that rust-sasa-python demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.