Peptide Status Detection

Files:

• 'create_amylnset.py': Python script used to extract positive data regions and prepare dataset for classification from the protein sequences in fasta format.
• 'classifier.py': Classifier written in python script using scikit-learn to predict the amyloidogenic regions of size 'n' in a protein sequence.
• Data: Protein sequences, both positive and negative regions.

Dependancies:

• Scikit-Learn
• Numpy
• Pylab
• Pandas

Instructions:

• Make sure that all dependancies are pre-installed
• Clone the repository as .zip
• Extract the contents
• The protein sequence for which the amyloidogenic regions are to be predicted in .fasta format is to be renamed as input.fasta and placed in the 'data' directory.
• Run the 'classifier.py' script and input the window size.
• Clean the 'data/temp' directory if required.