MOSTPLAS

A self-correction multi-label learning model for plasmid host range prediction.

Requirements

• Python >= 3.10
• Pytorch >= 1.12.1
• Biopython

Usage

• Download or clone this repository.

git clone https://github.com/wzou96/MOSTPLAS

• Prepare the fasta file of plasmid sequences and update the file in the folder input_fasta/.
• Replace the path of the fasta file in the file test.py.

input_path = './input_fasta/sequence.fasta'

• Run the code and obtain the prediction results in the folder output/prediction.txt.

python test.py

Optional

• You can determine the threshold for making host range prediction in the file test.py. The default setting is 0.4.

threshold = 0.4

Helps

• If you have any questions about the usage of MOSTPLAS, please feel free to contact Wei Zou. (Email: [email protected])