scholarly journals Overview of simulation studies on the enzymatic activity and conformational dynamics of the GTPase Ras

2014 ◽  
Vol 40 (10-11) ◽  
pp. 839-847 ◽  
Author(s):  
Priyanka Prakash ◽  
Alemayehu A. Gorfe
Langmuir ◽  
2008 ◽  
Vol 24 (15) ◽  
pp. 8163-8168 ◽  
Author(s):  
Debapriya Banerjee ◽  
Samir Kumar Pal

Biopolymers ◽  
2002 ◽  
Vol 64 (6) ◽  
pp. 303-313 ◽  
Author(s):  
Joanne N. Bright ◽  
Indira H. Shrivastava ◽  
Frank S. Cordes ◽  
Mark S. P. Sansom

2012 ◽  
Vol 80 (4) ◽  
pp. 1066-1077 ◽  
Author(s):  
Suryani Lukman ◽  
Robert C. Robinson ◽  
David Wales ◽  
Chandra S. Verma

2021 ◽  
Vol 22 (19) ◽  
pp. 10705
Author(s):  
Pratiti Bhadra ◽  
Volkhard Helms

Here, we review recent molecular modelling and simulation studies of the Sec translocon, the primary component/channel of protein translocation into the endoplasmic reticulum (ER) and bacterial periplasm, respectively. Our focus is placed on the eukaryotic Sec61, but we also mention modelling studies on prokaryotic SecY since both systems operate in related ways. Cryo-EM structures are now available for different conformational states of the Sec61 complex, ranging from the idle or closed state over an inhibited state with the inhibitor mycolactone bound near the lateral gate, up to a translocating state with bound substrate peptide in the translocation pore. For all these states, computational studies have addressed the conformational dynamics of the translocon with respect to the pore ring, the plug region, and the lateral gate. Also, molecular simulations are addressing mechanistic issues of insertion into the ER membrane vs. translocation into the ER, how signal-peptides are recognised at all in the translocation pore, and how accessory proteins affect the Sec61 conformation in the co- and post-translational pathways.


Biochemistry ◽  
2020 ◽  
Vol 59 (35) ◽  
pp. 3201-3205
Author(s):  
James A. Martin ◽  
Paul Robustelli ◽  
Arthur G. Palmer

2015 ◽  
Vol 21 (39) ◽  
pp. 13598-13608 ◽  
Author(s):  
Sara Sattin ◽  
Jiahui Tao ◽  
Gerolamo Vettoretti ◽  
Elisabetta Moroni ◽  
Marzia Pennati ◽  
...  

2012 ◽  
Vol 80 (5) ◽  
pp. 1500-1500
Author(s):  
Suryani Lukman ◽  
Robert C. Robinson ◽  
David Wales ◽  
Chandra S. Verma

1959 ◽  
Vol 36 (2) ◽  
pp. 193-201 ◽  
Author(s):  
Julius A. Goldbarg ◽  
Esteban P. Pineda ◽  
Benjamin M. Banks ◽  
Alexander M. Rutenburg

1999 ◽  
Vol 15 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Lutz F. Hornke

Summary: Item parameters for several hundreds of items were estimated based on empirical data from several thousands of subjects. The logistic one-parameter (1PL) and two-parameter (2PL) model estimates were evaluated. However, model fit showed that only a subset of items complied sufficiently, so that the remaining ones were assembled in well-fitting item banks. In several simulation studies 5000 simulated responses were generated in accordance with a computerized adaptive test procedure along with person parameters. A general reliability of .80 or a standard error of measurement of .44 was used as a stopping rule to end CAT testing. We also recorded how often each item was used by all simulees. Person-parameter estimates based on CAT correlated higher than .90 with true values simulated. For all 1PL fitting item banks most simulees used more than 20 items but less than 30 items to reach the pre-set level of measurement error. However, testing based on item banks that complied to the 2PL revealed that, on average, only 10 items were sufficient to end testing at the same measurement error level. Both clearly demonstrate the precision and economy of computerized adaptive testing. Empirical evaluations from everyday uses will show whether these trends will hold up in practice. If so, CAT will become possible and reasonable with some 150 well-calibrated 2PL items.


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