scholarly journals Importance of Chiral Recognition in Designing Metal-Free Ligands for G-Quadruplex DNA

Molecules ◽  
2019 ◽  
Vol 24 (8) ◽  
pp. 1473 ◽  
Author(s):  
Dora M. Răsădean ◽  
Samuel W. O. Harrison ◽  
Isobel R. Owens ◽  
Aucéanne Miramont ◽  
Frances M. Bromley ◽  
...  

Four pairs of amino acid-functionalized naphthalenediimide enantiomers (d- and l-lysine derived NDIs) were screened toward G-quadruplex forming sequences in telomeres (h-TELO) and oncogene promoters: c-KIT1, c-KIT2, k-RAS and BCL-2. This is the first study to address the effect of point chirality toward G-quadruplex DNA stabilization using purely small organic molecules. Enantioselective behavior toward the majority of ligands was observed, particularly in the case of parallel conformations of c-KIT2 and k-RAS. Additionally, Nε-Boc-l-Lys-NDI and Nε-Boc-d-Lys-NDI discriminate between quadruplexes with parallel and hybrid topologies, which has not previously been observed with enantiomeric ligands.

2009 ◽  
Vol 113 (43) ◽  
pp. 11817-11832 ◽  
Author(s):  
Mark S. Taylor ◽  
Sandra A. Ivanic ◽  
Geoffrey P. F. Wood ◽  
Christopher J. Easton ◽  
George B. Bacskay ◽  
...  

2010 ◽  
Vol 29 (3) ◽  
pp. 190-199 ◽  
Author(s):  
Mingyue Tian ◽  
Xiufeng Zhang ◽  
Yan Li ◽  
Yong Ju ◽  
Junfeng Xiang ◽  
...  

2014 ◽  
Vol 4 (6) ◽  
pp. 1730-1733 ◽  
Author(s):  
Xianmo Gu ◽  
Wei Qi ◽  
Shuchang Wu ◽  
Zhenhua Sun ◽  
Xianzhu Xu ◽  
...  

Multi-walled carbon nanotubes were functionalized noncovalently with small organic molecules containing specific ketonic carbonyl groups. The comparison of intrinsic activities for a series of catalysts indicates that carbonyl groups are active sites in the reduction of nitrobenzene.


Biochemistry ◽  
2017 ◽  
Vol 56 (33) ◽  
pp. 4392-4404 ◽  
Author(s):  
Kranthikumar Yadav ◽  
Penchala Narasimha Rao Meka ◽  
Sudeshna Sadhu ◽  
Sravanthi Devi Guggilapu ◽  
Jeshma Kovvuri ◽  
...  

RSC Advances ◽  
2020 ◽  
Vol 10 (25) ◽  
pp. 14500-14509 ◽  
Author(s):  
Zhenghui Liu ◽  
Peng Wang ◽  
Yu Chen ◽  
Zhenzhong Yan ◽  
Suqing Chen ◽  
...  

A small organic molecule was tailored for the efficient synthesis of biphenyl and its derivatives from aryl iodides.


2002 ◽  
Vol 57 (3) ◽  
pp. 343-348 ◽  
Author(s):  
Heinz Mehlmann ◽  
Daniel Olschewski ◽  
Andrey Olschewski ◽  
Martin Feigel

AbstractTwo amide libraries, Fmoc-[Lys(aci)]4-Gly-resin (1) (aci = 2-naphthylcarbonyl, 1-adamantylcarbonyl and benzyloxycarbonyl) and Fmoc-[δ-Glu(α-amidei)]4-Gly-resin (2) (amidei = morpholineamide, piperidineamide, (N´-phenyl)-piperazineamide), have been synthesized from the corresponding Fmoc-protected amino acid derivatives. Beads of the libraries complex organic dyes (crystal violet and Sudan black) differently according to the sequence of residues in 1 or 2. The results are considered a step towards artificial receptors for small organic molecules build from linear oligoamides.


Author(s):  
Joshua Horton ◽  
Alice Allen ◽  
Leela Dodda ◽  
Daniel Cole

<div><div><div><p>Modern molecular mechanics force fields are widely used for modelling the dynamics and interactions of small organic molecules using libraries of transferable force field parameters. For molecules outside the training set, parameters may be missing or inaccurate, and in these cases, it may be preferable to derive molecule-specific parameters. Here we present an intuitive parameter derivation toolkit, QUBEKit (QUantum mechanical BEspoke Kit), which enables the automated generation of system-specific small molecule force field parameters directly from quantum mechanics. QUBEKit is written in python and combines the latest QM parameter derivation methodologies with a novel method for deriving the positions and charges of off-center virtual sites. As a proof of concept, we have re-derived a complete set of parameters for 109 small organic molecules, and assessed the accuracy by comparing computed liquid properties with experiment. QUBEKit gives highly competitive results when compared to standard transferable force fields, with mean unsigned errors of 0.024 g/cm3, 0.79 kcal/mol and 1.17 kcal/mol for the liquid density, heat of vaporization and free energy of hydration respectively. This indicates that the derived parameters are suitable for molecular modelling applications, including computer-aided drug design.</p></div></div></div>


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