[NMR paper] Progress, Challenges and Opportunities of NMR and XL-MS for Cellular Structural Biology
Progress, Challenges and Opportunities of NMR and XL-MS for Cellular Structural Biology
The validity of protein structures and interactions, whether determined under ideal laboratory conditions or predicted by AI tools such as Alphafold2, to precisely reflect those found in living cells remains to be examined. Moreover, understanding the changes in protein structures and interactions in response to stimuli within living cells, under both normal and disease conditions, is key to grasping proteins' functionality and cellular processes. Nevertheless, achieving high-resolution...
More...
nmrlearner
Journal club
0
03-01-2024 10:10 PM
[NMR paper] Backbone and sidechain NMR assignments for the ribosome maturation factor RbfA from Escherichia coli.
Backbone and sidechain NMR assignments for the ribosome maturation factor RbfA from Escherichia coli.
Related Articles Backbone and sidechain NMR assignments for the ribosome maturation factor RbfA from Escherichia coli.
Biomol NMR Assign. 2020 Jul 15;:
Authors: Schedlbauer A, Iturrioz I, Ochoa-Lizarralde B, Çapuni R, Han X, de Astigarraga E, Diercks T, Fucini P, Connell SR
Abstract
RbfA (ribosome binding factor A; 15.2*kDa) is a protein involved in ribosome biogenesis and has been shown to be important for growth at low...
nmrlearner
Journal club
0
07-18-2020 10:53 AM
Opportunities and Challenges for EIK's in DNP NMR Applications #DNPNMR
From The DNP-NMR Blog:
Opportunities and Challenges for EIK's in DNP NMR Applications #DNPNMR
Rosay, Melanie, Ivan Scrgeyev, Leo Tometich, Christopher Hickey, Albert Roitman, Doug Yake, and Dave Berry. “Opportunities and Challenges for EIK’s in DNP NMR Applications.” In 2018 43rd International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), 1–2. Nagoya: IEEE, 2018.
https://doi.org/10.1109/IRMMW-THz.2018.8510328.
nmrlearner
News from NMR blogs
0
02-29-2020 09:52 PM
[NMR paper] Micelles, Bicelles, and Nanodiscs: Comparing the Impact of Membrane Mimetics on Membrane Protein Backbone Dynamics
Micelles, Bicelles, and Nanodiscs: Comparing the Impact of Membrane Mimetics on Membrane Protein Backbone Dynamics
Detergents are often used to investigate the structure and dynamics of membrane proteins. Whereas the structural integrity seems to be preserved in detergents for many membrane proteins, their functional activity is frequently compromised, but can be restored in a lipid environment. Herein we show with per-residue resolution that while OmpX forms a stable ?-barrel in DPC detergent micelles, DHPC/DMPC bicelles, and DMPC nanodiscs, the pico- to nanosecond and micro- to...
nmrlearner
Journal club
0
11-24-2016 10:14 AM
[NMR paper] The ABC exporter MsbA probed by solid state NMR - challenges and opportunities.
The ABC exporter MsbA probed by solid state NMR - challenges and opportunities.
Related Articles The ABC exporter MsbA probed by solid state NMR - challenges and opportunities.
Biol Chem. 2015 Apr 4;
Authors: Kaur H, Lakatos A, Spadaccini R, Vogel R, Hoffmann C, Becker-Baldus J, Ouari O, Tordo P, Mchaourab H, Glaubitz C
Abstract
ABC transporters form a superfamily of integral membrane proteins involved in translocation of substrates across the membrane driven by ATP hydrolysis. Despite available crystal structures and extensive...
nmrlearner
Journal club
0
04-09-2015 03:47 AM
Journal Highlight: Why is inline NMR rarely used as industrial sensor? Challenges and opportunities
Journal Highlight: Why is inline NMR rarely used as industrial sensor? Challenges and opportunities
http://www.spectroscopynow.com/common/images/thumbnails/143f34a81f0.jpgA short background of NMR spectroscopy fundamentals and instrumentation is presented along with its potential applications and limitations for real-time analysis in the manufacturing sector.
Read the rest at Spectroscopynow.com
nmrlearner
General
0
02-03-2014 03:55 PM
[NMR paper] Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks.
Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks.
Related Articles Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks.
J Biomol NMR. 2013 Jun 2;
Authors: Shen Y, Bax A
Abstract
A new program, TALOS-N, is introduced for predicting protein backbone torsion angles from NMR chemical shifts. The program relies far more extensively on the use of trained artificial neural networks than its predecessor, TALOS+....
Opportunities and Challenges of Backbone, Sidechain, and RDC Experiments to Study Membrane Protein Dynamics in ... - Frontiers
Linear Mode
