scholarly journals Side Chain Conformational Distributions of a Small Protein Derived from Model-Free Analysis of a Large Set of Residual Dipolar Couplings

2015 ◽  
Vol 137 (46) ◽  
pp. 14798-14811 ◽  
Author(s):  
Fang Li ◽  
Alexander Grishaev ◽  
Jinfa Ying ◽  
Ad Bax
2001 ◽  
Vol 123 (25) ◽  
pp. 6098-6107 ◽  
Author(s):  
Jens Meiler ◽  
Jeanine J. Prompers ◽  
Wolfgang Peti ◽  
Christian Griesinger ◽  
Rafael Brüschweiler

Author(s):  
Felix A Roth ◽  
Volker Schmidts ◽  
Jan Rettig ◽  
Christina M. Thiele

Residual dipolar couplings (RDCs) contain information on the relative arrangement and dynamics of internuclear spin vectors in chemical compounds. Classically, RDC data is analyzed by fitting to structure models, while...


2021 ◽  
Author(s):  
Felix Roth ◽  
Volker Schmidts ◽  
Jan Rettig ◽  
Christina Thiele

Residual dipolar couplings (RDCs) contain information on the relative arrangement and dynamics of internuclear spin vectors in chemical compounds. The recently introduced software TITANIA implements the MFA and extracts structure and dynamics parameters directly from experimental RDCs to facilitate <i>de novo</i> structure refinement for small organic compounds. Herein, we focus on the challenges faced with experimentally inaccessible data often encountered for small organic compounds leading to voids in the RDC matrix and the concomitant effects on the structure refinement. It is shown that RDC data sets obtained experimentally from currently available alignment media and measurement methods are of sufficient quality to allow relative configuration determination even when the relative configuration of the analyte is completely unknown.<br>


2021 ◽  
Author(s):  
Felix Roth ◽  
Volker Schmidts ◽  
Christina Thiele

The direct use of RDCs as restraint to construct structures based on RDCs is proposed for organic compounds. It uses the vector and dynamics information available in multi alignment data sets directly for the joint determination of conformation and configuration of organic compounds. We show that employing these data even a flat or random start structure converges into the correctly configured structure when employing multiple alignment data sets in our iterative procedure. <br>


2002 ◽  
Vol 124 (20) ◽  
pp. 5822-5833 ◽  
Author(s):  
Wolfgang Peti ◽  
Jens Meiler ◽  
Rafael Brüschweiler ◽  
Christian Griesinger

2010 ◽  
Vol 132 (9) ◽  
pp. 3196-3203 ◽  
Author(s):  
Navratna Vajpai ◽  
Martin Gentner ◽  
Jie-rong Huang ◽  
Martin Blackledge ◽  
Stephan Grzesiek

2002 ◽  
Vol 124 (49) ◽  
pp. 14616-14625 ◽  
Author(s):  
Nathalie Sibille ◽  
Beate Bersch ◽  
Jacques Covès ◽  
Martin Blackledge ◽  
Bernhard Brutscher

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