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Identification of Novel Antibacterial Peptides by Chemoinformatics and Machine Learning †

✍ Scribed by Fjell, Christopher D.; Jenssen, Håvard; Hilpert, Kai; Cheung, Warren A.; Panté, Nelly; Hancock, Robert E. W.; Cherkasov, Artem

Book ID
120480562
Publisher
American Chemical Society
Year
2009
Tongue
English
Weight
278 KB
Volume
52
Category
Article
ISSN
0022-2623

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## Abstract The machine learning (ML) as well as quantitative structure activity relationship (QSAR) method has been explored for predicting compounds with antibacterial activities at impressive performance. It is desirable to test additional ML methods, select most representative sets of molecular