Organoplatinum Polymorphs with Varying Molecular Conformation, Intermolecular Interaction, and Luminescence

2006 ◽  
Vol 25 (6) ◽  
pp. 1517-1524 ◽  
Author(s):  
Dong-Ren Bai ◽  
Suning Wang
Crystals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 109 ◽  
Author(s):  
Agnieszka Adamczyk-Woźniak ◽  
Michał Cyrański ◽  
Krzysztof Durka ◽  
Jan Gozdalik ◽  
Paulina Klimentowska ◽  
...  

The structure and properties of 1,3-phenylenediboronic acid are reported. Molecular and crystal structures were determined by single crystal as well as by powder X-ray diffraction methods. Acidity constant, thermal behavior, and NMR characterization of the title compound were also investigated. In addition to the experimental data, calculations of rotational barrier and intermolecular interaction energies were performed. The compound reveals a two-step acid–base equilibrium with different pKa values. TGA and DSC measurements show a typical dehydration reaction with formation of boroxine. In crystals, hydrogen-bonded dimers with syn-anti conformation of hydroxyl groups form large numbers of ribbon motifs. The 2D potential energy surface scan of rotation of two boronic groups with respect to phenyl ring reveals that the rotation barrier is close to 37 kJ⋅mol−1, which is higher than the double value for the rotation of the boronic group in phenylboronic acid. This effect was ascribed to intermolecular interaction with C–H hydrogen atom located between boronic groups. Furthermore, the molecules in the crystal lattice adopt a less stable molecular conformation most likely resulting from intermolecular forces. These were further investigated by periodic DFT calculations supported by an estimation of dimer interaction energy, and also by topological analysis of electron density in the framework of AIM theory.


2019 ◽  
Vol 19 (19) ◽  
pp. 1734-1750 ◽  
Author(s):  
Lídia M. Lima ◽  
Marina A. Alves ◽  
Daniel N. do Amaral

Homologation is a concept introduced by Gerhard in 1853 to describe a homologous series in organic chemistry. Since then, the concept has been adapted and used in medicinal chemistry as one of the most important strategies for molecular modification. The homologation types, their influence on physico-chemical properties and molecular conformation are presented and discussed. Its application in lead-identification and lead optimization steps, as well as its impact on pharmacodynamics/pharmacokinetic properties and on protein structure is highlighted from selected examples. <p> • Homologation: definition and types <p> • Homologous series in nature <p> • Comparative physico-chemical and conformational properties <p> • Application in lead-identification and lead-optimization <p> • Impact on pharmacodynamic property <p> • Impact on pharmacokinetic property <p> • Impact on protein structure <p> • Concluding remarks <p> • Acknowledgment <p> • References


1997 ◽  
Vol 119 (6) ◽  
pp. 1336-1345 ◽  
Author(s):  
Gyula Batta ◽  
Katalin E. Kövér ◽  
Jacquelyn Gervay ◽  
Miklós Hornyák ◽  
Gareth M. Roberts

1993 ◽  
Vol 298 ◽  
pp. 1-11 ◽  
Author(s):  
Keiichi Ohno ◽  
Yoshitaka Mandai ◽  
Hiroatsu Matsuura

2021 ◽  
Vol 22 (10) ◽  
pp. 5212
Author(s):  
Andrzej Bak

A key question confronting computational chemists concerns the preferable ligand geometry that fits complementarily into the receptor pocket. Typically, the postulated ‘bioactive’ 3D ligand conformation is constructed as a ‘sophisticated guess’ (unnecessarily geometry-optimized) mirroring the pharmacophore hypothesis—sometimes based on an erroneous prerequisite. Hence, 4D-QSAR scheme and its ‘dialects’ have been practically implemented as higher level of model abstraction that allows the examination of the multiple molecular conformation, orientation and protonation representation, respectively. Nearly a quarter of a century has passed since the eminent work of Hopfinger appeared on the stage; therefore the natural question occurs whether 4D-QSAR approach is still appealing to the scientific community? With no intention to be comprehensive, a review of the current state of art in the field of receptor-independent (RI) and receptor-dependent (RD) 4D-QSAR methodology is provided with a brief examination of the ‘mainstream’ algorithms. In fact, a myriad of 4D-QSAR methods have been implemented and applied practically for a diverse range of molecules. It seems that, 4D-QSAR approach has been experiencing a promising renaissance of interests that might be fuelled by the rising power of the graphics processing unit (GPU) clusters applied to full-atom MD-based simulations of the protein-ligand complexes.


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