EventsMOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published
This submission belongs to the session 01. CHEMBIO.INFO-01: Cheminfo., Chemom., Comput. Quantum Chem. & Bioinfo. Congress, Cambridge, UK-Chapel Hill and Richmond, USA, 2015 of the event MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed.
Published date
07 Dec, 2015
Citation
Jesus Vicente de Julián-Ortiz, Begoña Verdejo, Emili Besalú, Enrique García-España, Víctor Polo, Molecular Rearrangement of an Aza-Scorpiand Macrocycle Induced by pH. A Computational Study, in Proceedings of MOL2NET'15, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 1st ed., 5 December–15 December 2015, MDPI: Basel, Switzerland, doi: 10.3390/MOL2NET-1-a015
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Molecular Rearrangement of an Aza-Scorpiand Macrocycle Induced by pH. A Computational Study

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1. Departament de Química Física, Universitat de València, Spain
2. Instituto de Ciencia Molecular, Departamento de Química Inorgánica, Universidad de Valencia, Spain
3. Departamento de Química Física, Universidad de Zaragoza, Spain
4. Institut de Química Computacional, Universitat de Girona, Spain
Abstract

Rearrangements and their control are a hot topic in supramolecular chemistry due to the possibilities that these phenomena open in the design of synthetic receptors and molecular machines. Macrocycle aza-scorpiands constitute an interesting system that can reorganize their spatial structure depending on pH variations or the presence of metal cations. In our case, the conformations change varies between the so called ‘open’ and ‘closed’, the last being found at lower pH. In this study, the relative stabilities of these conformations were predicted computationally by the Density Functional Theory approximation and the reorganization from closed to open was simulated by using the Monte Carlo Multiple Minimum method.

Keywords
pH controlled
supramolecular chemistry
synthetic receptors
aza-scorpiands
Density Functional Theory
Monte Carlo Multiple Minimum
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