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1.3.2

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adpred

Prediction of Transcription Activation Domains from protein sequences

Published22 Sept 2025
Direct dependencies8
Transitive dependenciesNot calculated

README

Version 1.3.2 documentation

PyPI Conda License Language

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

Downloads & popularity

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Download counts and popularity will appear here as the collector receives them.

Declared dependencies 8

Native requirements
8 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
keras
Environment
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keras==3.11.3runtime
numpy
Environment
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  "requires_python": ">=3.9",
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numpy==2.3.3runtime
pandas
Environment
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  "marker": null,
  "requires_python": ">=3.9",
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pandas==2.3.2runtime
plotly
Environment
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plotly==6.3.0runtime
requests
Environment
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  "requires_python": ">=3.9",
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requests==2.32.5runtime
requests-oauthlib
Environment
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  "requires_python": ">=3.9",
  "evaluation": "NOT_EVALUATED"
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requests-oauthlib==2.0.0runtime
scikit-learn
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": ">=3.9",
  "evaluation": "NOT_EVALUATED"
}
scikit-learn==1.7.2runtime
tensorflow
Environment
{
  "extras": "",
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  "requires_python": ">=3.9",
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}
tensorflow==2.20.0runtime

Distribution files

2 collected
adpred-1.3.2-py3-none-any.whl

bdist_wheel · 309.65 KB · Python py3

Source file
adpred-1.3.2.tar.gz

sdist · 310.53 KB · Python source

Source file

Repository

PENDING
fredhutch/adpred-pkg

Shared repository data · GitHub

License detected in repository
Not collected

Metadata history

Meaningful changes
Current collected state Current

Observed since 20 Oct, 19:48 UTC

No superseded metadata states collected. Unchanged observations do not create new revisions.

Record identity

package_version:f796d540ecfdae8eed5bb2956a970fb58cd6e9d2cbeb06b9b30f18f9410c8846

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