Metadata-Version: 2.2
Name: TFBind
Version: 0.5.0
Summary: Predict whether the transcription factor protein sequence binds to the DNA gene sequence
Home-page: https://github.com/jingpengLiu/TFBind
Author: JingPeng Liu
Author-email: 15313226223@163.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.11
Description-Content-Type: text/markdown
License-File: LICENSE
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
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Dynamic: requires-python
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# TFBind
Predict whether the transcription factor protein sequence binds to the DNA gene sequence

# Dependencies

TFBind works under Python 3.11.4

The required dependencies for TFBind are as follows：

python==3.11.4

torch==2.0.1

numpy

pandas==2.1.1

scikit-learn

# Input
TFBind Two files are required for input, one is the amino acid protein sequence of the transcription factor, and the other is the DNA nucleotide sequence. The protein sequence does not exceed 1451bp, and the DNA sequence does not exceed 150bp.

# Output

The output is 1 and 0. 1 represents the potential combination possibility in model calculation, and 0 represents the potential non-combination possibility.


