Publications by authors named "Fucong Li"
Novel active Trp- and Arg-rich antimicrobial peptides with high solubility and low red blood cell toxicity designed using machine learning tools.
Bridget A B Henson Fucong Li José Ausencio Álvarez-Huerta Poornima G Wedamulla Arianna Valdes Palacios David Thiam En Lim
Int J Antimicrob Agents
January 2025
Article Synopsis
- * Machine learning techniques were used to identify and rank potential non-hemolytic AMPs from two libraries of peptide sequences, leading to the synthesis and testing of 220 peptides against Methicillin-resistant Staphylococcus aureus (MRSA).
- * Six promising AMPs were further analyzed for their effectiveness against various bacteria and cancer cell lines, revealing a successful strategy for creating effective and safe antimicrobial agents, while also setting a foundation for future research and machine learning applications in peptide design.
By the fine manipulation of the exceptional long-range germanium-telluride (Ge─Te) bonding through charge transfer engineering, we have achieved exceptional thermoelectric (TE) and mechanical properties in lead-free GeTe. This chemical bonding mechanism along with a semiordered zigzag nanostructure generates a notable increase of the average to a record value of ~1.73 in the temperature range of 323 to 773 K with ultrahigh maximum ~ 2.
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