Cargando…
New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis
For analysis of weak π–π complexes proton-nuclear magnetic resonance (proton-NMR) simultaneously provides information of stacking configurations and association constants [Formula: see text] However, an apparent issue for this approach is inconsistent/impossible constant estimation which often leads...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602360/ https://www.ncbi.nlm.nih.gov/pubmed/33292404 http://dx.doi.org/10.1186/s13065-020-00718-x |
_version_ | 1783603659907530752 |
---|---|
author | Lin, Chenyu Skufca, Joseph Partch, Richard E. |
author_facet | Lin, Chenyu Skufca, Joseph Partch, Richard E. |
author_sort | Lin, Chenyu |
collection | PubMed |
description | For analysis of weak π–π complexes proton-nuclear magnetic resonance (proton-NMR) simultaneously provides information of stacking configurations and association constants [Formula: see text] However, an apparent issue for this approach is inconsistent/impossible constant estimation which often leads to unreasonable interpretation for π–π complexation. Whether or not this proton-dependent constant variation could be attributed to simple experimental uncertainties or to more sophisticated additional unspecific shielding effects (AUS effects) was addressed by means of hypothesis tests using a robust bootstrap technique in this report. Our analysis shows the significance of AUS effects on such variation in constant estimation. A following study using numeric simulation further reveals the variation patterns induced by AUS effects and concludes that the largest [Formula: see text] among the obtained [Formula: see text] estimates of a complex is considered as the best estimate of [Formula: see text] due to minimum deviation from the true value of K and the multiple [Formula: see text] estimates of a π–π complex could provide preferable inferences for complex geometries. |
format | Online Article Text |
id | pubmed-7602360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-76023602020-11-02 New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis Lin, Chenyu Skufca, Joseph Partch, Richard E. BMC Chem Research Article For analysis of weak π–π complexes proton-nuclear magnetic resonance (proton-NMR) simultaneously provides information of stacking configurations and association constants [Formula: see text] However, an apparent issue for this approach is inconsistent/impossible constant estimation which often leads to unreasonable interpretation for π–π complexation. Whether or not this proton-dependent constant variation could be attributed to simple experimental uncertainties or to more sophisticated additional unspecific shielding effects (AUS effects) was addressed by means of hypothesis tests using a robust bootstrap technique in this report. Our analysis shows the significance of AUS effects on such variation in constant estimation. A following study using numeric simulation further reveals the variation patterns induced by AUS effects and concludes that the largest [Formula: see text] among the obtained [Formula: see text] estimates of a complex is considered as the best estimate of [Formula: see text] due to minimum deviation from the true value of K and the multiple [Formula: see text] estimates of a π–π complex could provide preferable inferences for complex geometries. Springer International Publishing 2020-10-30 /pmc/articles/PMC7602360/ /pubmed/33292404 http://dx.doi.org/10.1186/s13065-020-00718-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Lin, Chenyu Skufca, Joseph Partch, Richard E. New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis |
title | New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis |
title_full | New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis |
title_fullStr | New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis |
title_full_unstemmed | New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis |
title_short | New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis |
title_sort | new insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602360/ https://www.ncbi.nlm.nih.gov/pubmed/33292404 http://dx.doi.org/10.1186/s13065-020-00718-x |
work_keys_str_mv | AT linchenyu newinsightsintopredictionofweakppcomplexassociationthroughprotonnuclearmagneticresonanceanalysis AT skufcajoseph newinsightsintopredictionofweakppcomplexassociationthroughprotonnuclearmagneticresonanceanalysis AT partchricharde newinsightsintopredictionofweakppcomplexassociationthroughprotonnuclearmagneticresonanceanalysis |