Literature DB >> 32275425

Quantum Chemical Calculation of Molecular and Periodic Peptide and Protein Structures.

Sarah Schmitz1, Jakob Seibert1, Katja Ostermeir1, Andreas Hansen1, Andreas H Göller2, Stefan Grimme1.   

Abstract

Special-purpose classical force fields (FFs) provide good accuracy at very low computational cost, but their application is limited to systems for which potential energy functions are available. This excludes most metal-containing proteins or those containing cofactors. In contrast, the GFN2-xTB semiempirical quantum chemical method is parametrized for almost the entire periodic table. The accuracy of GFN2-xTB is assessed for protein structures with respect to experimental X-ray data. Furthermore, the results are compared with those of two special-purpose FFs, HF-3c, PM6-D3H4X, and PM7. The test sets include proteins without any prosthetic groups as well as metalloproteins. Crystal packing effects are examined for a set of smaller proteins to validate the molecular approach. For the proteins without prosthetic groups, the special purpose FF OPLS-2005 yields the smallest overall RMSD to the X-ray data but GFN2-xTB provides similarly good structures with even better bond-length distributions. For the metalloproteins with up to 5000 atoms, a good overall structural agreement is obtained with GFN2-xTB. The full geometry optimizations of protein structures with on average 1000 atoms in wall-times below 1 day establishes the GFN2-xTB method as a versatile tool for the computational treatment of various biomolecules with a good accuracy/computational cost ratio.

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Year:  2020        PMID: 32275425     DOI: 10.1021/acs.jpcb.0c00549

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  5 in total

1.  3,4-Methylenedioxypyrovalerone (MDPV) Sensing Based on Electropolymerized Molecularly Imprinted Polymers on Silver Nanoparticles and Carboxylated Multi-Walled Carbon Nanotubes.

Authors:  Rosa A S Couto; Constantino Coelho; Bassim Mounssef; Sara F de A Morais; Camila D Lima; Wallans T P Dos Santos; Félix Carvalho; Cecília M P Rodrigues; Ataualpa A C Braga; Luís Moreira Gonçalves; M Beatriz Quinaz
Journal:  Nanomaterials (Basel)       Date:  2021-02-01       Impact factor: 5.076

2.  Machine learning-accelerated quantum mechanics-based atomistic simulations for industrial applications.

Authors:  Tobias Morawietz; Nongnuch Artrith
Journal:  J Comput Aided Mol Des       Date:  2020-10-09       Impact factor: 3.686

3.  Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems.

Authors:  Sebastian Spicher; Stefan Grimme
Journal:  Angew Chem Int Ed Engl       Date:  2020-05-18       Impact factor: 16.823

4.  Accurate Receptor-Ligand Binding Free Energies from Fast QM Conformational Chemical Space Sampling.

Authors:  Esra Boz; Matthias Stein
Journal:  Int J Mol Sci       Date:  2021-03-17       Impact factor: 5.923

Review 5.  Applications of density functional theory in COVID-19 drug modeling.

Authors:  Naike Ye; Zekai Yang; Yuchen Liu
Journal:  Drug Discov Today       Date:  2021-12-23       Impact factor: 8.369

  5 in total

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