New Computational Strategy Finds Brain Tumor-shrinking Molecules
Researchers from the University of California, San Diego, recently developed a new computational strategy to search for molecules that could be developed into treatments for glioblastoma. The mouse-model study, published in the journal Oncotarget, found that one molecule shrank the average tumor size by half. The newly discovered molecule works against glioblastoma tumors by wedging itself in the temporary interface between two proteins whose binding is essential for the tumor’s survival and growth. This study is the first to demonstrate successful inhibition of this type of protein, known as a transcription factor. “Most drugs target stable pockets within proteins, so when we started out, people thought it would be impossible to inhibit the transient interface between two transcription factors,” said first author of the study. “But we addressed this challenge and created a new strategy for drug design — one that we expect many other researchers will immediately begin implementing in the development of drugs that target similar proteins, for the treatment of a variety of diseases.” To read more about this study, click here.
Intraoperative Neurophysiology in Neurosurgery: The Essentials. 2nd Edition
Dec. 14-16, 2017; Verona, Italy
Mayo Clinic Neuroscience and Oncology Innovation Summit 2017
Dec. 14, 2017 - Dec. 16, 2017; Orlando, Fla.
43rd Annual Meeting of Louisiana Neurosurgical Society
Jan. 12, 2018 - Jan. 13, 2018; Shreveport, La.
2018 CANS Annual Meeting
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