There is an increasing trend to use in silico methods to mine venom peptide libraries. 18–21 Machine learning methods have been applied to various biological applications, including proteome analysis, which involves determining the sequence, location, and function of protein-encoding genes. 22 Deep learning models, a subset of machine learning, have demonstrated significant success in genome engineering. 23 With regards to ion channel classification, several algorithms have demonstrated the potential and challenges with in silico methods.
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Molecular arms race classifier for decrypting venom peptide and ion channel interactions.
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