/sAMP-PFPDeep

A model for predicting short antimicrobial peptides (length <=30 residues) using multiple features and deep learning approaches

Primary LanguagePython

sAMP-PFPDeep

A model for predicting short anti-microbial peptides (length <=30 residues) using multiple features and deep learning approaches

To run sAMP-PFPDeep

  1. Install dependencies using ENV.yml.
  2. Input format is FASTA, so put all sequences in a single FASTA file.
  3. Mention file name and correct file path in sAMP-PFPDeep.py in start at FASTA_INPUT_FILE_NAME = "./Example.fasta"
  4. Run sAMP-PFPDeep.py.

Citation

Waqar Hussain, sAMP-PFPDeep: Improving accuracy of short antimicrobial peptides prediction using three different sequence encodings and deep neural networks, Briefings in Bioinformatics, 2021; bbab487, https://doi.org/10.1093/bib/bbab487