Literature DB >> 26574389

Accuracy of Protein Embedding Potentials: An Analysis in Terms of Electrostatic Potentials.

Jógvan Magnus Haugaard Olsen1,2, Nanna Holmgaard List2, Kasper Kristensen3, Jacob Kongsted2.   

Abstract

Quantum-mechanical embedding methods have in recent years gained significant interest and may now be applied to predict a wide range of molecular properties calculated at different levels of theory. To reach a high level of accuracy in embedding methods, both the electronic structure model of the active region and the embedding potential need to be of sufficiently high quality. In fact, failures in quantum mechanics/molecular mechanics (QM/MM)-based embedding methods have often been associated with the QM/MM methodology itself; however, in many cases the reason for such failures is due to the use of an inaccurate embedding potential. In this paper, we investigate in detail the quality of the electronic component of embedding potentials designed for calculations on protein biostructures. We show that very accurate explicitly polarizable embedding potentials may be efficiently designed using fragmentation strategies combined with single-fragment ab initio calculations. In fact, due to the self-interaction error in Kohn-Sham density functional theory (KS-DFT), use of large full-structure quantum-mechanical calculations based on conventional (hybrid) functionals leads to less accurate embedding potentials than fragment-based approaches. We also find that standard protein force fields yield poor embedding potentials, and it is therefore not advisable to use such force fields in general QM/MM-type calculations of molecular properties other than energies and structures.

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Year:  2015        PMID: 26574389     DOI: 10.1021/acs.jctc.5b00078

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  6 in total

1.  Harmonic Infrared and Raman Spectra in Molecular Environments Using the Polarizable Embedding Model.

Authors:  Karen Oda Hjorth Minde Dundas; Maarten T P Beerepoot; Magnus Ringholm; Simen Reine; Radovan Bast; Nanna Holmgaard List; Jacob Kongsted; Kenneth Ruud; Jógvan Magnus Haugaard Olsen
Journal:  J Chem Theory Comput       Date:  2021-05-19       Impact factor: 6.006

2.  Combining Evolutionary Conservation and Quantum Topological Analyses To Determine Quantum Mechanics Subsystems for Biomolecular Quantum Mechanics/Molecular Mechanics Simulations.

Authors:  Mark A Hix; Emmett M Leddin; G Andrés Cisneros
Journal:  J Chem Theory Comput       Date:  2021-06-04       Impact factor: 6.578

Review 3.  Frontiers in Multiscale Modeling of Photoreceptor Proteins.

Authors:  Maria-Andrea Mroginski; Suliman Adam; Gil S Amoyal; Avishai Barnoy; Ana-Nicoleta Bondar; Veniamin A Borin; Jonathan R Church; Tatiana Domratcheva; Bernd Ensing; Francesca Fanelli; Nicolas Ferré; Ofer Filiba; Laura Pedraza-González; Ronald González; Cristina E González-Espinoza; Rajiv K Kar; Lukas Kemmler; Seung Soo Kim; Jacob Kongsted; Anna I Krylov; Yigal Lahav; Michalis Lazaratos; Qays NasserEddin; Isabelle Navizet; Alexander Nemukhin; Massimo Olivucci; Jógvan Magnus Haugaard Olsen; Alberto Pérez de Alba Ortíz; Elisa Pieri; Aditya G Rao; Young Min Rhee; Niccolò Ricardi; Saumik Sen; Ilia A Solov'yov; Luca De Vico; Tomasz A Wesolowski; Christian Wiebeler; Xuchun Yang; Igor Schapiro
Journal:  Photochem Photobiol       Date:  2021-02-13       Impact factor: 3.521

4.  Quantifying electron transfer reactions in biological systems: what interactions play the major role?

Authors:  Emil Sjulstok; Jógvan Magnus Haugaard Olsen; Ilia A Solov'yov
Journal:  Sci Rep       Date:  2015-12-22       Impact factor: 4.379

5.  Two-Photon Absorption Cross-Sections in Fluorescent Proteins Containing Non-canonical Chromophores Using Polarizable QM/MM.

Authors:  Maria Rossano-Tapia; Jógvan Magnus Haugaard Olsen; Alex Brown
Journal:  Front Mol Biosci       Date:  2020-06-12

6.  Predicting 19 F NMR Chemical Shifts: A Combined Computational and Experimental Study of a Trypanosomal Oxidoreductase-Inhibitor Complex.

Authors:  Johannes C B Dietschreit; Annika Wagner; T Anh Le; Philipp Klein; Hermann Schindelin; Till Opatz; Bernd Engels; Ute A Hellmich; Christian Ochsenfeld
Journal:  Angew Chem Int Ed Engl       Date:  2020-05-25       Impact factor: 15.336

  6 in total

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