scholarly journals VALIDATION OF COMPUTATIONAL METHODS APPLIED IN MOLECULAR MODELING OF CAFFEINE WITH EPITHELIAL ANTICANCER ACTIVITY: THEORETICAL STUDY OF GEOMETRIC, THERMOCHEMICAL AND SPECTROMETRIC DATA

Author(s):  
Josivan Costa ◽  
Cleydson Santos ◽  
Karina Costa ◽  
Ryan Ramos ◽  
Carlos Henrique Silva ◽  
...  
2021 ◽  
Vol 22 (13) ◽  
pp. 7139
Author(s):  
Wojciech Bocian ◽  
Elżbieta Bednarek ◽  
Katarzyna Michalska

Molecular modeling (MM) results for tedizolid and radezolid with heptakis-(2,3-diacetyl-6-sulfo)-β-cyclodextrin (HDAS-β-CD) are presented and compared with the results previously obtained for linezolid and sutezolid. The mechanism of interaction of chiral oxazolidinone ligands belonging to a new class of antibacterial agents, such as linezolid, tedizolid, radezolid, and sutezolid, with HDAS-β-CD based on capillary electrokinetic chromatography (cEKC), nuclear magnetic resonance (NMR) spectroscopy, and MM methods was described. Principles of chiral separation of oxazolidinone analogues using charged single isomer derivatives of cyclodextrin by the cEKC method were presented, including the selection of the optimal chiral selector and separation conditions, complex stoichiometry, and binding constants, which provided a comprehensive basis for MM studies. In turn, NMR provided, where possible, direct information on the geometry of the inclusion complexes and also provided the necessary structural information to validate the MM calculations. Consequently, MM contributed to the understanding of the structure of diastereomeric complexes, the thermodynamics of complexation, and the visualization of their structures. The most probable mean geometries of the studied supramolecular complexes and their dynamics (geometry changes over time) were determined by molecular dynamics methods. Oxazolidinone ligands have been shown to complex mainly the inner part of cyclodextrin, while the external binding is less privileged, which is consistent with the conclusions of the NMR studies. Enthalpy values of binding of complexes were calculated using long-term molecular dynamics in explicit water as well as using molecular mechanics, the Poisson–Boltzmann or generalized Born, and surface area continuum solvation (MM/PBSA and MM/GBSA) methods. Computational methods predicted the effect of changes in pH and composition of the solution on the strength and complexation process, and it adapted the conditions selected as optimal during the cEKC study. By changing the dielectric constant in the MM/PBSA and MM/GBSA calculations, the effect of changing the solution to methanol/acetonitrile was investigated. A fairly successful attempt was made to predict the chiral separation of the oxazolidinones using the modified cyclodextrin by computational methods.


2020 ◽  
Vol 21 (20) ◽  
pp. 7702 ◽  
Author(s):  
Sofya I. Scherbinina ◽  
Philip V. Toukach

Analysis and systematization of accumulated data on carbohydrate structural diversity is a subject of great interest for structural glycobiology. Despite being a challenging task, development of computational methods for efficient treatment and management of spatial (3D) structural features of carbohydrates breaks new ground in modern glycoscience. This review is dedicated to approaches of chemo- and glyco-informatics towards 3D structural data generation, deposition and processing in regard to carbohydrates and their derivatives. Databases, molecular modeling and experimental data validation services, and structure visualization facilities developed for last five years are reviewed.


2020 ◽  
Vol 49 (16) ◽  
pp. 5312-5322 ◽  
Author(s):  
Schirin Hanf ◽  
Annie L. Colebatch ◽  
Philipp Stehr ◽  
Raúl García-Rodríguez ◽  
Evamarie Hey-Hawkins ◽  
...  

The donor properties of a range of multidentate 2-pyridyl-phosphines were evaluated using different experimental and computational methods.


2018 ◽  
Vol 156 ◽  
pp. 774-789 ◽  
Author(s):  
Hany A.M. El-Sherief ◽  
Bahaa G.M. Youssif ◽  
Syed Nasir Abbas Bukhari ◽  
Ahmed H. Abdelazeem ◽  
Mohamed Abdel-Aziz ◽  
...  

2019 ◽  
Vol 183 ◽  
pp. 111719 ◽  
Author(s):  
Igor A. Schepetkin ◽  
Alexander S. Karpenko ◽  
Andrei I. Khlebnikov ◽  
Marina O. Shibinska ◽  
Igor A. Levandovskiy ◽  
...  

2011 ◽  
Vol 78 (4) ◽  
pp. 651-658 ◽  
Author(s):  
Xiao Y. Huang ◽  
Zhi J. Shan ◽  
Hong L. Zhai ◽  
Li Su ◽  
Xiao Y. Zhang

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