Reversible Electrochemical Triggering and Optical Interrogation of Polylysine α-helix Formation

2021 ◽  
pp. 108007
Author(s):  
Eloise Masquelier ◽  
Sheng-Ping Liang ◽  
Lior Sepunaru ◽  
Daniel E. Morse ◽  
Michael J. Gordon
Keyword(s):  
2007 ◽  
Vol 18 (01) ◽  
pp. 91-98 ◽  
Author(s):  
GÖKHAN GÖKOĞLU ◽  
TARIK ÇELİK

We have performed parallel tempering simulations of a 13-residue peptide fragment of ribonuclease-A, c-peptide, in implicit solvent with constant dielectric permittivity. This peptide has a strong tendency to form α-helical conformations in solvent as suggested by circular dichroism (CD) and nuclear magnetic resonance (NMR) experiments. Our results demonstrate that 5th and 8–12 residues are in the α-helical region of the Ramachandran map for global minimum energy state in solvent environment. Effects of salt bridge formation on stability of α-helix structure are discussed.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Lise Friis Christensen ◽  
Lasse Staby ◽  
Katrine Bugge ◽  
Charlotte O’Shea ◽  
Birthe B. Kragelund ◽  
...  

AbstractRadical-Induced Cell Death1 (RCD1) functions as a cellular hub interacting with intrinsically disordered transcription factor regions, which lack a well-defined three-dimensional structure, to regulate plant stress. Here, we address the molecular evolution of the RCD1-interactome. Using bioinformatics, its history was traced back more than 480 million years to the emergence of land plants with the RCD1-binding short linear motif (SLiM) identified from mosses to flowering plants. SLiM variants were biophysically verified to be functional and to depend on the same RCD1 residues as the DREB2A transcription factor. Based on this, numerous additional members may be assigned to the RCD1-interactome. Conservation was further strengthened by similar intrinsic disorder profiles of the transcription factor homologs. The unique structural plasticity of the RCD1-interactome, with RCD1-binding induced α-helix formation in DREB2A, but not detectable in ANAC046 or ANAC013, is apparently conserved. Thermodynamic analysis also indicated conservation with interchangeability between Arabidopsis and soybean RCD1 and DREB2A, although with fine-tuned co-evolved binding interfaces. Interruption of conservation was observed, as moss DREB2 lacked the SLiM, likely reflecting differences in plant stress responses. This whole-interactome study uncovers principles of the evolution of SLiM:hub-interactions, such as conservation of α-helix propensities, which may be paradigmatic for disorder-based interactomes in eukaryotes.


2006 ◽  
Vol 110 (22) ◽  
pp. 10903-10909 ◽  
Author(s):  
Merlyn D. Schuh ◽  
Melinda C. Baldwin

Tetrahedron ◽  
2012 ◽  
Vol 68 (23) ◽  
pp. 4434-4437 ◽  
Author(s):  
Stephen E. Miller ◽  
Neville R. Kallenbach ◽  
Paramjit S. Arora

FEBS Letters ◽  
1991 ◽  
Vol 278 (2) ◽  
pp. 244-246 ◽  
Author(s):  
Russel J. Mortishire-Smith ◽  
Alex F. Drake ◽  
Jennifer C. Nutkins ◽  
Dudley H. Williams
Keyword(s):  

2009 ◽  
Vol 76 (1) ◽  
pp. 226-236 ◽  
Author(s):  
Seiichi Tsukamoto ◽  
Takako Yamashita ◽  
Yoshiteru Yamada ◽  
Kazuo Fujiwara ◽  
Kosuke Maki ◽  
...  

ChemInform ◽  
2010 ◽  
Vol 27 (29) ◽  
pp. no-no
Author(s):  
J. M. SCHOLTZ ◽  
R. L. BALDWIN
Keyword(s):  

2006 ◽  
Vol 110 (10) ◽  
pp. 4503-4505 ◽  
Author(s):  
Alexandre V. Morozov ◽  
Kiril Tsemekhman ◽  
David Baker

2018 ◽  
Author(s):  
Louis Martini ◽  
Bettina Keller

<div><div><div><p>The variational approach to conformational dynamics offers a systematic way to con- struct kinetic models from molecular dynamics simulations, using an arbitrary set of basis functions. We have recently proposed a basis set for peptide systems that only depends on the sequence of amino acids in the system. This basis set is not data- driven and can therefore be used to compare models for different MD simulations. Here we introduce an orthonormality condition for this basis set as a requirement for the variational models to remain directly interpretable. The orthonormality condi- tion naturally leads to a way of detecting correlations between the sampled marginal stationary probability distributions at each residue in the peptide sequence. We show how these correlations emerge from either undersampled transitions or from inher- ent dynamical dependencies between the residues. Our basis set relies on a tensor structure obtained from residue-centered ansatz functions. We demonstrate that this structure is sufficient to model both β-sheet and α-helix formation in peptides.</p></div></div></div>


2010 ◽  
Vol 132 (23) ◽  
pp. 7868-7869 ◽  
Author(s):  
Li Guo ◽  
Aaron M. Almeida ◽  
Weicheng Zhang ◽  
Andrew G. Reidenbach ◽  
Soo Hyuk Choi ◽  
...  

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