Publications by authors named "M J Villanueva"
Lin28 is a key regulator of cancer stem cell gene network that promotes therapy-resistant tumor progression in various tumors. However, no Lin28 inhibitor has been approved to treat cancer patients, urging exploration of novel compounds as candidates to be tested for clinical trials. In this contribution, we applied computer-aided drug design (CADD) in combination with quantitative biochemical and biological assays.
View Article and Find Full Text PDFNovel active Trp- and Arg-rich antimicrobial peptides with high solubility and low red blood cell toxicity designed using machine learning tools.
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.
More than four decades ago, the discovery of a companion protein of immunoglobulins in myeloma cells and soon after, of their ability to associate with heavy chains, made the term immunoglobulin binding protein (BiP) emerge, prompting a tremendous amount of effort to understand their versatile cellular functions. BiPs belong to the heat shock protein (Hsp) 70 family and are crucial for protein folding and cellular stress responses. While extensively studied in model organisms such as , their roles in dinoflagellates, especially in photosynthetic Symbiodiniaceae, remain largely underexplored.
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