UCI-led stem cell study points to new treatments for this fatal disorder
UCI-led stem cell study points to new treatments for this fatal disorder
Scientists have characterized the genome of a freshwater snail that is instrumental in transmitting a parasitic worm to humans. The achievement could help researchers disrupt the life cycle of B. glabrata and potentially eliminate schistosomiasis, also known as snail fever.
-Written By Lida Gifford Cyclic proteins that assemble from multiple identical subunits (homo-oligomers) play key roles in many biological processes, including cell signaling and enzymatic catalysis and protein function. Researchers in Berkeley Lab’s Molecular Biophysics and Integrated Bioimaging (MBIB) Division worked with University of Washington’s David Baker, who led a team to design in silico
Acclaimed vector biologist Anthony James will lead multi-campus effort
The American Academy of Arts and Sciences announced today the election of 188 fellows, five of whom are scientists at Berkeley Lab. The new Berkeley Lab fellows are Jamie Cate, Christopher Chang, Roger Falcone, Michael Witherell and Katherine Yelick. All hold joint faculty appointments at UC Berkeley.
Berkeley Lab researchers collaborated with colleagues from the University of Indiana and Texas A&M University to solve the atomic structure of a Zika virus protein that is key to viral reproduction. The X-ray studies were conducted at the Advanced Light Source in the Berkeley Center for Structural Biology.
Researchers at the Joint BioEnergy Institute are looking to common soil bacteria for help in converting aryl compounds, a common waste product from biofuels synthesis, into something of value.
Cryo-electron microscopy (cryo-EM)—which enables the visualization of viruses, proteins, and other biological structures at the molecular level—is a critical tool used to advance biochemical knowledge. Now Lawrence Berkeley National Laboratory (Berkeley Lab) researchers have extended cryo-EM’s impact further by developing a new computational algorithm that was instrumental in constructing a 3-D atomic-scale model of bacteriophage
A team of scientists at Berkeley Lab has developed an unsupervised multi-scale machine learning technique that can automatically and specifically capture biomedical events or concepts directly from raw data.