Literature DB >> 28093777

Description of non-covalent interactions in SCC-DFTB methods.

Vijay Madhav Miriyala1, Jan Řezáč1.   

Abstract

We have analyzed the description of non-covalent interactions in multiple variants of the self-consistent charges density functional tight binding (SCC-DFTB) method. While the description of London dispersion can be easily improved by empirical correction, hydrogen bonding poses a much more difficult problem. We have implemented an interaction energy decomposition scheme that allowed us to quantify the error at the level of first-order electrostatic and polarization terms. Both are underestimated because of the monopole approximation used in SCC-DFTB, with the latter being affected also by the use of minimal basis set. Among the methods tested, SCC-DFTB with the empirical D3H4 corrections worked best. To make this correction compatible with the latest development in SCC-DFTB, we have reparameterized it for use with third-order SCC-DFTB with the 3OB parameter set.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  DFTB3; density functional tight binding; dispersion correction; hydrogen bonding correction; non-covalent interactions

Year:  2017        PMID: 28093777     DOI: 10.1002/jcc.24725

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


  5 in total

1.  Intermolecular interactions in the condensed phase: Evaluation of semi-empirical quantum mechanical methods.

Authors:  Anders S Christensen; Jimmy C Kromann; Jan H Jensen; Qiang Cui
Journal:  J Chem Phys       Date:  2017-10-28       Impact factor: 3.488

2.  Analysis of Density Functional Tight Binding with Natural Bonding Orbitals.

Authors:  Xiya Lu; Juan Duchimaza-Heredia; Qiang Cui
Journal:  J Phys Chem A       Date:  2019-08-15       Impact factor: 2.781

3.  Superior Performance of the SQM/COSMO Scoring Functions in Native Pose Recognition of Diverse Protein-Ligand Complexes in Cognate Docking.

Authors:  Haresh Ajani; Adam Pecina; Saltuk M Eyrilmez; Jindřich Fanfrlík; Susanta Haldar; Jan Řezáč; Pavel Hobza; Martin Lepšík
Journal:  ACS Omega       Date:  2017-07-27

4.  Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides.

Authors:  Raimon Fabregat; Alberto Fabrizio; Edgar A Engel; Benjamin Meyer; Veronika Juraskova; Michele Ceriotti; Clemence Corminboeuf
Journal:  J Chem Theory Comput       Date:  2022-02-18       Impact factor: 6.006

5.  Density Functional Theory-Based Studies Predict Carbon Nanotubes as Effective Mycolactone Inhibitors.

Authors:  Nafiu Suleiman; Abu Yaya; Michael D Wilson; Solomon Aryee; Samuel K Kwofie
Journal:  Molecules       Date:  2022-07-11       Impact factor: 4.927

  5 in total

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