SIBYLS makes BioSciences news
The SIBYLS beamline was used to characterize proteins using reinforcement learning, an algorithm developed by frequent BL 12.3.1 users from David Baker’s lab at the University of Washington. Read the article here.
SAXS helps to determine a novel structure of GALS1
The presence of a carbohydrate-rich cell wall is a ubiquitous feature of all plants. While we are beginning to understand the composition and diversity of the polysaccharide components in these walls, little is known about the enzymes involved in their synthesis. By combing macromolecular X-ray crystallography together with solution X-ray scattering data collecting at beamline…
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Visiting scholar at SIBYLS wins award
Angela Kayll from James Madison University spent the summer of 2022 at SIBYLS working with our SAXS scientists and collecting SAXS data on Matlodextrin chains. Angela (Angie), was given a Biochemistry and Molecular Biology poster presentation award for this work at the 2022 Annual Biomedical Research Conference for Minority Students in Anaheim, CA. Her poster…
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SIBYLS help signal target for Anticancer Drugs
Researchers from Genentech in collaboration with SIBYLS beamline scientist, Michal Hammel, used Small Angle X-Ray scattering to learn how an assembly of three proteins works together to transmit signals for cell division. The work reveals new targets for the development of drugs to fight certain types of cancer, including lung, colorectal, and pancreatic.
Evolution and Innovation of RuBisCO
SIBYLS beamline scientists Daniel Rosenberg and Michal Hammel collaborated with the Shih Lab at UC Berkeley to study patterns of oligomerization in rubisco, nature’s most abundant carbon-fixing enzyme. By using SEC-SAXS-MALS, they were able to conduct a diversity-driven structural study across extant and ancestral form II rubisco and retrace the evolutionary trajectory taken during the…
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BioSAXS workshop August 16 & 17
Join us for this 2-day SAXS workshop to be held via zoom during the 2022 ALS User Meeting. Registration is FREE. You will need to register for the ALS User Meeting and select the 13th Annual SIBYLS BioSAXS Workhop/tutorial. In addition, please email Kathryn at kburnett@lbl.gov and let her know you plan to attend (or…
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Sample Centering with Google’s AutoML
SIBYLS beamline scientist, Scott Classen, collaborated with ScienceIT consultants Shawfeng Dong and Fengchen Liu to use AutoML machine learning for the LoopDHS project. As part of the effort, IT student intern Jordan Jung developed a training dataset for the model to improve the accuracy. These developments enabled Dr. Classen to develop loopDHS a custom software…
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SAXS workshop July 29, 2022
SIBYLS beamline scientist, Michal Hammel, will lead a workshop on Applications of Small Angle Scattering to Structural Biology at the 2022 ACA in Portland, Oregon on July 29th. Registration is now open.