Literature DB >> 28861911

Automated and efficient quantum chemical determination and energetic ranking of molecular protonation sites.

Philipp Pracht1, Christoph Alexander Bauer1, Stefan Grimme1.   

Abstract

We present an automated quantum chemical protocol for the determination of preferred protonation sites in organic and organometallic molecules containing up to a few hundred atoms. It is based on the Foster-Boys orbital localization method, whereby we automatically identify lone pairs and π orbitals as possible protonation sites. The method becomes efficient in conjunction with the robust and fast GFN-xTB semiempirical method proposed recently (Grimme et al., J. Chem. Theory Comput. 2017, 13, 1989). The protonated isomers that are found within a few seconds to minutes of computational wall-time on a standard desktop computer are then energetically refined using density functional theory (DFT), where we use a high-level double-hybrid reference method to benchmark GFN-xTB and low-cost DFT approaches. The proposed DFT/GFN-xTB/LMO composite protocol is generally applicable to almost arbitrary molecules including transition metal complexes. Importantly it is found that even in electronically complicated cases, the GFN-xTB optimized protomer structures are reasonable and can safely be used in single-point DFT calculations. Corrections from energy to free energy mostly have a small effect on computed protomer populations. The resulting protomer equilibrium is valuable, for example, in the context of electrospray ionization mass spectrometry where it may help identify the ionized species and assist the interpretation of the experiment.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  density functional theory; localized molecular orbitals; mass spectrometry; relative protonation energies; semiempirical quantum chemistry

Year:  2017        PMID: 28861911     DOI: 10.1002/jcc.24922

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  8 in total

1.  High accuracy quantum-chemistry-based calculation and blind prediction of macroscopic pKa values in the context of the SAMPL6 challenge.

Authors:  Philipp Pracht; Rainer Wilcken; Anikó Udvarhelyi; Stephane Rodde; Stefan Grimme
Journal:  J Comput Aided Mol Des       Date:  2018-08-23       Impact factor: 3.686

2.  SAMPL6 challenge results from [Formula: see text] predictions based on a general Gaussian process model.

Authors:  Caitlin C Bannan; David L Mobley; A Geoffrey Skillman
Journal:  J Comput Aided Mol Des       Date:  2018-10-15       Impact factor: 3.686

3.  Active discovery of organic semiconductors.

Authors:  Christian Kunkel; Johannes T Margraf; Ke Chen; Harald Oberhofer; Karsten Reuter
Journal:  Nat Commun       Date:  2021-04-23       Impact factor: 14.919

4.  Vibrational Spectroscopy of Homo- and Heterochiral Amino Acid Dimers: Conformational Landscapes.

Authors:  Haolu Wang; Matthias Heger; Mohamad H Al-Jabiri; Yunjie Xu
Journal:  Molecules       Date:  2021-12-22       Impact factor: 4.411

5.  Quantum Chemistry-based Molecular Dynamics Simulations as a Tool for the Assignment of ESI-MS/MS Spectra of Drug Molecules.

Authors:  Romina Schnegotzki; Jeroen Koopman; Stefan Grimme; Roderich D Süssmuth
Journal:  Chemistry       Date:  2022-04-01       Impact factor: 5.020

6.  Fully Automated Quantum-Chemistry-Based Computation of Spin-Spin-Coupled Nuclear Magnetic Resonance Spectra.

Authors:  Stefan Grimme; Christoph Bannwarth; Sebastian Dohm; Andreas Hansen; Jana Pisarek; Philipp Pracht; Jakob Seibert; Frank Neese
Journal:  Angew Chem Int Ed Engl       Date:  2017-10-11       Impact factor: 15.336

Review 7.  Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics.

Authors:  Ivana Blaženović; Tobias Kind; Jian Ji; Oliver Fiehn
Journal:  Metabolites       Date:  2018-05-10

8.  Quantum Chemical Study Aimed at Modeling Efficient Aza-BODIPY NIR Dyes: Molecular and Electronic Structure, Absorption, and Emission Spectra.

Authors:  Alexander E Pogonin; Artyom Y Shagurin; Maria A Savenkova; Felix Yu Telegin; Yuriy S Marfin; Arthur S Vashurin
Journal:  Molecules       Date:  2020-11-17       Impact factor: 4.411

  8 in total

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