ADpred
A tool for prediction of Transcription Activation Domains from protein sequences.
Goals
The main goal is to identify regions with high AD function probability in protein sequences. Moreover, at these observed regions, a saturated mutagenesis study can reveal insights into the important residues that confer the AD function to that region.
Contributing
Contributions are welcome and encouraged.
Documentation
Authors
Licence
ADpred is an open source software released under the MIT licence
Metadata
Release files for adpred 1.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| adpred-1.3.2.tar.gz | 318.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| adpred-1.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 635.1 kB
Release files / adpred-1.3.2.tar.gz
| Download URL | adpred-1.3.2.tar.gz |
|---|---|
| Size | 318.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.2
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Release files / adpred-1.3.2-py3-none-any.whl
| Download URL | adpred-1.3.2-py3-none-any.whl |
|---|---|
| Size | 317.1 kB |
| 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.2
|