4.4 Article

Piloting the Membranolytic Activities of Peptides with a Self-organizing Map

期刊

CHEMBIOCHEM
卷 15, 期 15, 页码 2225-2231

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/cbic.201402231

关键词

drug discovery; machine learning; membrane interaction; peptide design; vesicles

资金

  1. ETH Zurich
  2. Swiss National Science Foundation (SNF) [205321-134783, 206021-133768]
  3. Swiss National Science Foundation (SNF) [206021_133768] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

Antimicrobial peptides (AMPs) show remarkable selectivity toward lipid membranes and possess promising antibiotic potential. Their modes of action are diverse and not fully understood, and innovative peptide design strategies are needed to generate AMPs with improved properties. We present a de novo peptide design approach that resulted in new AMPs possessing low-nanomolar membranolytic activities. Thermal analysis revealed an entropy-driven mechanism of action. The study demonstrates sustained potential of advanced computational methods for designing peptides with the desired activity.

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