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Growing bacterial resistance to antibiotics is spurring research on utilizing naturally-occurring antimicrobial peptides (AMPs) as templates for novel drug design. While experimentalists mainly focus on systematic point mutations to measure the effect on antibacterial activity, the computational community seeks to understand what determines such activity in a machine learning setting. The latter seeks...
Growing bacterial resistance to antibiotics is urging the development of new lines of treatment. The discovery of naturally-occurring antimicrobial peptides (AMPs) is motivating many experimental and computational researchers to pursue AMPs as possible templates. In the experimental community, the focus is generally on systematic point mutation studies to measure the effect on antibacterial activity...
Prediction of promoter regions continues to be a challenging subproblem in mapping out eukaryotic DNA. While this task is key to understanding the regulation of differential transcription, the gene-specific architecture of promoter sequences does not readily lend itself to general strategies. To date, the best approaches are based on Support Vector Machines (SVMs) that employ standard ”spectrum” features...
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