Tune in January 17th, in a follow up to last week's webinar on cctbx.xfel and DIALS, to learn how to Get the most out of your XFEL data with IOTA and PRIME. Mona Uervirojnangkoorn and Art Lyubimov from Stanford University will give a joint presentation.
Getting the most out of your XFEL data with IOTA and PRIME
Tuesday, January 17th at 12pm EST
Mona Uervirojnangkoorn, Postdoctoral Associate
and Art Lyubimov, HHMI Research Specialist
Axel Brunger's Group, Stanford University
Host: Jason Key
X-ray free electron lasers (XFELs) have opened another door of opportunity for the study of macromolecular structures. The ultra-bright and ultra-fast XFEL pulse allows amplifications of diffraction intensities while outpacing radiation damage, making XFELs ideal for micro- and nano-crystals as well as radiation-sensitive systems. …
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Please join us January 10th, in the first of two xfel webinars, to learn about Processing serial crystallographic data using cctbx.xfel and DIALS. Aaron Brewster, Project Scientist at Lawrence Berkeley National Labs, will present.
Processing serial crystallographic data using cctbx.xfel and DIALS
Tuesday, January 10th at 12pm EST
Aaron Brewster
Project Scientist
Lawrence Berkeley National Laboratory
Host: Jason Key
Serial crystallography is an advancing field, allowing scientists to collect data from upwards of hundreds of thousands of protein crystals in sequence. It allows the study of crystals too small for conventional goniometer rotation experiments, but also allows examining samples at room temperature, and probing time-dependence in reaction cycles. cctbx.xfel is a software package for indexing and integrating serial crystallographic data from XFEL and synchrotron sources. …
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Please join us December 6th to hear Abhishek Singharoy, from Klaus Schulten's lab at the Beckman Institute and University of Illinois at Urbana Champaign, present on xMDFF, a new molecular dynamics flexible fitting-based approach for determining structures from low-resolution crystallographic data.
Structure Determination of a Cell Organelle with a Computational Microscope
Tuesday, December 6th at 12pm EST
Abhishek Singharoy
Postdoctoral Fellow, Klaus Schulten's Group
Beckman Institute and University of Illinois at Urbana Champaign,
Host: Jason Key
Photosynthetic organelles have been optimized by over two billion years of evolution into highly efficient energy-harvesting machines that surpass man-made solar devices in robustness, adaptation to environmental stress, and efficiency of energy conversion. Leveraging a nanoscale network of bioenergetic proteins, these fascinating properties emerge from the confluence of hundreds …
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SBGrid and NE-CAT are pleased to host a Phenix Workshop on experimental phasing, automated model building, and real space refinement. This 1.5-day course, with cases from X-ray crystallography and electron microscopy, will be held November 10-11 at Harvard Medical School in Boston. Preliminary agenda below. For information on lodging and location, please see the event website.
Phenix Workshop
Nov 10-11, 2016
Course is full.
Please contact us at events@sbgrid.org with questions.
Lecturers:
Paul Adams, Lawrence Berkeley National Labs, University of California, Berkeley
Tom Terwilliger, Los Alamos National Laboratory
Pavel Afonine, Lawrence Berkeley National Labs
Harvard Medical School
Boston, MA
Registration Fee: $100
Fee includes breakfast and lunch on both days
Program
This course will cover experimental phasing, automated model building, and real space refinement using cases …
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We are happy to announce that effective Sept 12, 2016, the SBGrid Consortium began managing and maintaining PyMOLWiki. Many thanks to Jason Vertrees, who spent over 10 years creating, building, and maintaining this site, with a significant investment of personal time and resources for the benefit of the community. Jason invited SBGrid to take over this endeavor, knowing that the SBGrid Consortium is dedicated to facilitating access to software and training programs for structural biology. PyMOLWiki is an open source resource that will remain free for all members of the scientific community.
Read more about the history of PyMOLWiki in our developer webtale.
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