Nature’s Inspiring Women in Science Award is a prestigious recognition that celebrates the accomplishments of women in the fields of Science, Technology, Engineering and Mathematics.
Xiwen Gong nominated for Nature’s Inspiring Women in Science Program
AI tool helps optimize antibody medicines
Machine learning points out why antibodies fail to stay on target, binding to molecules that aren’t markers of disease—and suggests better designs.
AI could run a million microbial experiments per year
Automation uncovers combinations of amino acids that feed two bacterial species and could tell us much more about the 90% of bacteria that humans have hardly studied.
$3.8M grant supports protein engineering technologies that improve brain delivery of neuroprotective antibodies for treating Alzheimer’s disease
The research will involve developing and optimizing bifunctional antibodies, which target one molecule at the blood-brain barrier for transport into the brain and a second molecule in the brain to mediate neuroprotective function.
Behind the Paper: Enabling Multi-Objective Antibody Optimization
This PhD student blog post explores the use of machine learning for simultaneously optimizing antibody affinity and specificity, which could help accelerate drug development.
$2.38M to test nano-engineered brain cancer treatment in mice
A protein that crosses the blood-brain barrier carries a drug that kills tumor cells and another that activates the immune system.
Joerg Lahann receives funding to improve cancer-fighting technologies
U-M ChE’s Joerg Lahann, the Wolfgang Pauli Collegiate Professor of Chemical Engineering, has received funding for a joint industry-academic cancer research project with Gradalis. The research focuses on finding methods to utilize a patient’s cancer cells to create personalized therapeutics to treat cancer.
Sasha Cai Lesher-Pérez to join U-M Chemical Engineering in 2022
Sasha Cai Lesher-Pérez will join U-M Chemical Engineering in Fall 2022 as an assistant professor.
New protein engineering method could accelerate the discovery of COVID-19 therapeutics
The method could one day be used to develop nanobodies against other viruses and disease targets as well.