scholarly journals DNA triplex structure, thermodynamics, and destabilisation: insight from molecular simulations

2018 ◽  
Vol 20 (20) ◽  
pp. 14013-14023 ◽  
Author(s):  
Belinda J. Boehm ◽  
Charles Whidborne ◽  
Alexander L. Button ◽  
Tara L. Pukala ◽  
David M. Huang

Molecular dynamics simulations are used to elucidate the structure and thermodynamics of DNA triplexes associated with the neurodegenerative disease Friedreich's ataxia (FRDA), as well as complexes of these triplexes with the small molecule netropsin, which is known to destabilise triplexes.

Soft Matter ◽  
2021 ◽  
Vol 17 (10) ◽  
pp. 2942-2956
Author(s):  
Rishabh D. Guha ◽  
Ogheneovo Idolor ◽  
Katherine Berkowitz ◽  
Melissa Pasquinelli ◽  
Landon R. Grace

We investigated the effect of temperature variation on the secondary bonding interactions between absorbed moisture and epoxies with different morphologies using molecular dynamics simulations.


2021 ◽  
Vol 23 (14) ◽  
pp. 8525-8540
Author(s):  
Mudong Feng ◽  
Michael K. Gilson

Ground-state and excited-state molecular dynamics simulations shed light on the rotation mechanism of small, light-driven molecular motors and predict motor performance. How fast can they rotate; how much torque and power can they generate?


2017 ◽  
Vol 19 (10) ◽  
pp. 6909-6920 ◽  
Author(s):  
Tatsuhiko Ohto ◽  
Johannes Hunger ◽  
Ellen H. G. Backus ◽  
Wataru Mizukami ◽  
Mischa Bonn ◽  
...  

Vibrational spectroscopy and molecular simulations revealed the hydrophilicity and hydrophobicity of TMAO in aqueous solution.


Author(s):  
Jin-Liang Wang ◽  
Asif Mahmood ◽  
Ahmad Irfan

Organic solar cells are the most promising candidates for future commercialization. This goal can be quickly achieved by designing new materials and predicting their performance without experimentation to reduce the...


2019 ◽  
Vol 21 (21) ◽  
pp. 11111-11121 ◽  
Author(s):  
Tulio Honorio ◽  
Farid Benboudjema ◽  
Thierry Bore ◽  
Mehdi Ferhat ◽  
Eric Vourc'h

The structure and dynamics of water and ions present in pore solutions are studied using molecular dynamics simulations.


2020 ◽  
Vol 5 (1) ◽  
pp. 304-316 ◽  
Author(s):  
Jonathan K. Sheavly ◽  
Jake I. Gold ◽  
Manos Mavrikakis ◽  
Reid C. Van Lehn

Molecular dynamics simulations predict the effect of analyte transport on the activation time of chemoresponsive liquid crystal sensors to improve sensor selectivity.


2019 ◽  
Author(s):  
Mark J. Abraham ◽  
Rossen Apostolov ◽  
Jonathan Barnoud ◽  
Paul Bauer ◽  
Christian Blau ◽  
...  

Given the need for modern researchers to produce open, reproducible scientific output, the lack of standards and best practices for sharing data and workflows used to produce and analyze molecular dynamics (MD) simulations have become an important issue in the field. There are now multiple well-established packages to perform molecular dynamics simulations, often highly tuned for exploiting specific classes of hardware, and each with strong communities surrounding them, but with very limited interoperability/transferability options. Thus, the choice of the software package often dictates the workflow for both simulation production and analysis. The level of detail in documenting the workflows and analysis code varies greatly in published work, hindering reproducibility of the reported results and the ability for other researchers to build on these studies. An increasing number of researchers are motivated to make their data available, but many challenges remain in order to effectively share and reuse simulation data. To discuss these and other issues related to best practices in the field in general, we organized a workshop in November 2018 ( <a href="https://bioexcel.eu/events/workshop-on-sharing-data-from-molecular-simulations/">https://bioexcel.eu/events/workshop-on-sharing-data-from-molecular-simulations/</a>). Here, we present a brief overview of this workshop and topics discussed. We hope this effort will spark further conversation in the MD community to pave the way towards more open, interoperable and reproducible outputs coming from research studies using MD simulations.


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