The SSB computational toolkit was developed to easily predict classical pharmacodynamic models of drug-GPCR (class A) interactions given just as input structural information of the receptor and the ligand.
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Release files for ssbtoolkit 1.0.10
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ssbtoolkit-1.0.10.tar.gz | 54.3 kB | Without provenance | Details for ssbtoolkit-1.0.10.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| ssbtoolkit-1.0.10-py3-none-any.whl | Python 3 | none | any | Details for ssbtoolkit-1.0.10-py3-none-any.whl |
Total release size: 115.9 kB
Release files / ssbtoolkit-1.0.10.tar.gz
| Download URL | ssbtoolkit-1.0.10.tar.gz |
|---|---|
| Size | 54.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.10.19
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Release files / ssbtoolkit-1.0.10-py3-none-any.whl
| Download URL | ssbtoolkit-1.0.10-py3-none-any.whl |
|---|---|
| Size | 61.6 kB |
| Tags | Python 3 |
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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/3.10.19
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Security for ssbtoolkit 1.0.10
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