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The JWT signature verification failed. Check the signing key and the algorithm.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
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Prophage ACR Screening Pipelines
This directory contains two analysis pipelines for screening Anti-CRISPR (Acr) proteins from prophage genomes.
Directory Structure
| Folder | Description |
|---|---|
| double_diff/ | Double-divergence screening pipeline: identifies novel Acr candidates that are significantly different from known Acr proteins at both sequence and structure levels |
| double_similar/ | High-confidence Acr identification pipeline: identifies high-confidence Acr candidates that are highly similar to known Acr proteins at both sequence and structure levels |
Quick Navigation
- double_diff — For discovery of Acrs with novel mechanisms. Excludes proteins with sequence homology (qcovs≥30, pident≥30) or structural similarity to known Acrs, retaining "double-divergent" candidates.
- double_similar — For expansion of known Acr families. Applies stringent filters for sequence (qcovs≥50, pident>50) and structural (TM-score>0.7, prob=1.0) similarity to obtain high-confidence candidates.
Detailed Documentation
Each folder contains a comprehensive README document describing:
- Screening strategies and workflows
- Input and output data formats
- Software tools and parameter settings
- Screening thresholds and criteria
Click the links above to view detailed documentation for each pipeline.
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