How to Build a Machine Learning Model to Predict Antimicrobial Peptides (End-to-end Bioinformatics)

How to Build a Machine Learning Model to Predict Antimicrobial Peptides (End-to-end Bioinformatics)

In this video, i will be showing you how to build an end-to-end bioinformatics project where we will be building a machine learning model to predict antimicrobial peptides. Particularly, we will be retrieving 2 datasets consisting of antimicrobial peptides (positive set) and non-antimicrobial peptides (negative set).

Antimicrobial resistance is an urgent and global health problem as existing drugs are becoming ineffective against the treatment of antimicrobial infections. In this video, i will be showing you how to build an end-to-end bioinformatics project where we will be building a machine learning model to predict antimicrobial peptides. Particularly, we will be retrieving 2 datasets consisting of antimicrobial peptides (positive set) and non-antimicrobial peptides (negative set). Then, we will be computing some peptide features to quantitatively describe peptides followed by model building and finally model interpretation where we shed light on the key important features important for predicting antimicrobial peptides.

👉 Code: https://github.com/dataprofessor/peptide-ml

Subscribe: https://www.youtube.com/channel/UCV8e2g4IWQqK71bbzGDEI4Q

machine-learning

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