acrcasppi-ml 0.0.1

A package for predicting protein-protein interaction between CRISPR-associated protein (Cas) and Anti-CRISPR protein (Acr).

acrcasppi_ml predicts protein-protein interaction between Anti-CRISPR protein (Acr) and CRISPR-associated protein (Cas), based on the machine learning algorithm.

Input file: The user need to provide pairs of acr and cas protein as input. The first and second column should contain acr and cas protein, respecticely. An example input file can be obtained from the given link https://github.com/snehaiasri/acrcasppi/blob/main/example.csv.

Usage: After installation, perform the following steps to use the package

import the package

import acrcasppi_ml as acp

save the input file as dataframe. Provide the full path of the input file.

df = pd.read_csv("example.csv")

convert the df into numpy array

var = df.to_numpy()

call the predict function

x = acp.predict(var)

to call the predict_proba function

y = acp.predict_proba(var)

call gen_file function to generate the output file (output.txt) in your current working directory

acp.gen_file(var)

Help To see the documentation of each function, use help command. For example, help(acr_cas_ppi) or help(predict).

Requirments Python >3.9, numpy, pickle-mixin, sklearn.