PARASECT
Welcome to PARASECT: Predictive Algorithm for Resolving A-domain Specificity featurising Enzyme and Compound in Tandem. Detect NRPS AMP-binding domains from an amino acid sequence and predict their substrate specificity profile.
Web application
You can find a live version of the web application here.
Database
Browse the data that PARAS and PARASECT were trained on here.
Data submission
Do you have new datapoints that you think PARAS/PARASECT could benefit from in future versions? Submit your data here.
Trained models
The trained models for PARAS and PARASECT can be found on Zenodo here.
Command line installation
To install PARAS/PARASECT on the command line, run:
conda create -n paras python=3.9
conda activate paras
pip install paras
conda install -c bioconda hmmer
conda install -c bioconda hmmer2
conda install -c bioconda muscle==3.8.1551
For usage instructions, see our wiki. Note that the command line tool will download the models from zenodo upon the first run.
1 maintainer
Metadata
1 maintainer
Release files for paras 2.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| paras-2.0.2.tar.gz | 8.5 MB | Without provenance | Details for paras-2.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| paras-2.0.2-py3-none-any.whl | Python 3 | none | any | Details for paras-2.0.2-py3-none-any.whl |
Total release size: 17.0 MB
Release files / paras-2.0.2.tar.gz
| Download URL | paras-2.0.2.tar.gz |
|---|---|
| Size | 8.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.13.9
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Release files / paras-2.0.2-py3-none-any.whl
| Download URL | paras-2.0.2-py3-none-any.whl |
|---|---|
| Size | 8.5 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.9
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Security for paras 2.0.2
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