scholarly journals Inorganic Phosphate and Arsenate within New Tetranuclear Copper and Zinc Complexes: Syntheses, Crystal Structures, Magnetic, Electrochemical, and Thermal Studies

ACS Omega ◽  
2017 ◽  
Vol 2 (4) ◽  
pp. 1535-1549 ◽  
Author(s):  
Shobhraj Haldar ◽  
Gonela Vijaykumar ◽  
Luca Carrella ◽  
Steven Batha ◽  
Ghezai T. Musie ◽  
...  
Keyword(s):  
Crystal Structures ◽  
Inorganic Phosphate ◽  
Thermal Studies ◽  
Zinc Complexes ◽  
Copper And Zinc

scholarly journals Antimicrobial, spectral and thermal studies of divalent cobalt, nickel, copper and zinc complexes with triazole Schiff bases

2017 ◽  
Vol 10 ◽  
pp. S978-S987 ◽  
Author(s):  
Kiran Singh ◽  
Yogender Kumar ◽  
Parvesh Puri ◽  
Chetan Sharma ◽  
Kamal Rai Aneja
Keyword(s):  
Schiff Bases ◽  
Thermal Studies ◽  
Zinc Complexes ◽  
Cobalt Nickel ◽  
Copper And Zinc ◽  
Nickel Copper ◽  
Divalent Cobalt

Zur Koordinationschemie des 2,2′-Dipyridyldiselenids (PySeSePy), Teil 2 [1] Komplexe mit Mangan, Kupfer und Zink/ The Coordination Chemistry of 2,2′-Dipyridyldiselenide (PySeSePy), Part 2. Complexes with Manganese, Copper and Zinc

2000 ◽  
Vol 55 (7) ◽  
pp. 587-596 ◽  
Author(s):  
Carsten O. Kienitz ◽  
Carsten Thöne ◽  
Peter G. Jones
Keyword(s):  
Coordination Chemistry ◽  
Crystal Structures ◽  
Average Length ◽  
Zinc Complexes ◽  
Polymeric Complex ◽  
Tetrahedral Coordination ◽  
Bridging Ligand ◽  
Copper And Zinc ◽  
Nitrato Complexes ◽  
Single Bonds

Abstract The coordination chemistry of 2,2′-dipyridyldiselenide (PySeSePy) towards mangane­se, copper and zinc centres has been studied. The complexes [MnBr2-N,N′-(PySeSePy)] (1), [CuBr2-N,N′-(PySeSePy)] (2), [Cu-(μ-Br)-N,N′-(PySeSePy)]2 (3), [Cu-(μ-Br)-{μ-N,N′-(PySeSePy)}]n (4), [Cu-(μ-Cl)-N,N′-(PySeSePy)]2 (5), [Zn(OOCC6F5)2-N,N′-(PySeSePy)] (6) and [Zn (OSO2CF3)2-N,N′-(PySeSePy)] (7) have been synthesised and the crystal structures of 1, 3, 4 and 6 determined. 1, 3 and 6 display seven-membered metallacycles with tetrahedral coordination of the metal centres. In these cases 2,2′-dipyridyldiselenide acts as a chelating ligand. In the polymeric complex 4, 2,2′-dipyridyldiselenide acts as a bridging ligand. All com­ plexes display selenium-selenium single bonds with an average length of 232 pm. In contrast to the analogous chloro and nitrato complexes, the zinc complexes 6 and 7 are not dissociated in solution, as evidenced by 77Se NMR experiments. The corresponding resonances are shifted downfield in comparison with the ligand.

Inhibition of cyclin-dependent kinase CDK1 by oxindolimine ligands and corresponding copper and zinc complexes

2015 ◽  
Vol 20 (7) ◽  
pp. 1205-1217 ◽  
Author(s):  
Rodrigo Bernardi Miguel ◽  
Philippe Alexandre Divina Petersen ◽  
Fernando A. Gonzales-Zubiate ◽  
Carla Columbano Oliveira ◽  
Naresh Kumar ◽  
...  
Keyword(s):  
Zinc Complexes ◽  
Cyclin Dependent Kinase ◽  
Copper And Zinc

Ligand-Directed Assembly of Manganese and Zinc Complexes: Syntheses, Crystal Structures, and Bioactivities

2015 ◽  
Vol 641 (3-4) ◽  
pp. 732-738 ◽  
Author(s):  
Cui-Juan Wang ◽  
Kai-Li Mao ◽  
Guang-Mei Qiu ◽  
Shuai Huang ◽  
Lian-Hai Shan ◽  
...  
Keyword(s):  
Crystal Structures ◽  
Directed Assembly ◽  
Zinc Complexes

scholarly journals Validation and correction of Zn–Cys x His y complexes

2016 ◽  
Vol 72 (10) ◽  
pp. 1110-1118 ◽  
Author(s):  
Wouter G. Touw ◽  
Bart van Beusekom ◽  
Jochem M. G. Evers ◽  
Gert Vriend ◽  
Robbie P. Joosten
Keyword(s):  
Crystal Structures ◽  
Protein Data Bank ◽  
Model Validation ◽  
Data Bank ◽  
Zinc Complexes ◽  
Zinc Ions ◽  
Tetrahedral Complex ◽  
Context Sensitive

Many crystal structures in the Protein Data Bank contain zinc ions in a geometrically distorted tetrahedral complex with four Cys and/or His ligands. A method is presented to automatically validate and correct these zinc complexes. Analysis of the corrected zinc complexes shows that the average Zn–Cys distances and Cys–Zn–Cys angles are a function of the number of cysteines and histidines involved. The observed trends can be used to develop more context-sensitive targets for model validation and refinement.

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