Literature DB >> 26610128

Molecules-in-Molecules: An Extrapolated Fragment-Based Approach for Accurate Calculations on Large Molecules and Materials.

Nicholas J Mayhall1, Krishnan Raghavachari1.   

Abstract

We present a new extrapolated fragment-based approach, termed molecules-in-molecules (MIM), for accurate energy calculations on large molecules. In this method, we use a multilevel partitioning approach coupled with electronic structure studies at multiple levels of theory to provide a hierarchical strategy for systematically improving the computed results. In particular, we use a generalized hybrid energy expression, similar in spirit to that in the popular ONIOM methodology, that can be combined easily with any fragmentation procedure. In the current work, we explore a MIM scheme which first partitions a molecule into nonoverlapping fragments and then recombines the interacting fragments to form overlapping subsystems. By including all interactions with a cheaper level of theory, the MIM approach is shown to significantly reduce the errors arising from a single level fragmentation procedure. We report the implementation of energies and gradients and the initial assessment of the MIM method using both biological and materials systems as test cases.

Year:  2011        PMID: 26610128     DOI: 10.1021/ct200033b

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


  12 in total

1.  Multilevel X-Pol: a fragment-based method with mixed quantum mechanical representations of different fragments.

Authors:  Yingjie Wang; Carlos P Sosa; Alessandro Cembran; Donald G Truhlar; Jiali Gao
Journal:  J Phys Chem B       Date:  2012-03-19       Impact factor: 2.991

Review 2.  The MOD-QM/MM Method: Applications to Studies of Photosystem II and DNA G-Quadruplexes.

Authors:  M Askerka; J Ho; E R Batista; J A Gascón; V S Batista
Journal:  Methods Enzymol       Date:  2016-07-15       Impact factor: 1.600

3.  Cooperative Formation of Icosahedral Proline Clusters from Dimers.

Authors:  Alexander D Jacobs; K V Jovan Jose; Rachel Horness; Krishnan Raghavachari; Megan C Thielges; David E Clemmer
Journal:  J Am Soc Mass Spectrom       Date:  2017-11-10       Impact factor: 3.109

4.  FragIt: a tool to prepare input files for fragment based quantum chemical calculations.

Authors:  Casper Steinmann; Mikael W Ibsen; Anne S Hansen; Jan H Jensen
Journal:  PLoS One       Date:  2012-09-18       Impact factor: 3.240

5.  Quantum mechanical force fields for condensed phase molecular simulations.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Phys Condens Matter       Date:  2017-08-17       Impact factor: 2.333

6.  Electrostatically Embedded Many-Body Expansion for Neutral and Charged Metalloenzyme Model Systems.

Authors:  Elbek K Kurbanov; Hannah R Leverentz; Donald G Truhlar; Elizabeth A Amin
Journal:  J Chem Theory Comput       Date:  2011-11-29       Impact factor: 6.006

7.  Analysis of the Errors in the Electrostatically Embedded Many-Body Expansion of the Energy and the Correlation Energy for Zn and Cd Coordination Complexes with Five and Six Ligands and Use of the Analysis to Develop a Generally Successful Fragmentation Strategy.

Authors:  Elbek K Kurbanov; Hannah R Leverentz; Donald G Truhlar; Elizabeth A Amin
Journal:  J Chem Theory Comput       Date:  2013-06-11       Impact factor: 6.006

Review 8.  Computational approaches to predicting the impact of novel bases on RNA structure and stability.

Authors:  Jason G Harrison; Yvonne B Zheng; Peter A Beal; Dean J Tantillo
Journal:  ACS Chem Biol       Date:  2013-10-08       Impact factor: 5.100

9.  MoD-QM/MM Structural Refinement Method: Characterization of Hydrogen Bonding in the Oxytricha nova G-Quadruplex.

Authors:  Junming Ho; Michael B Newcomer; Christina M Ragain; Jose A Gascon; Enrique R Batista; J Patrick Loria; Victor S Batista
Journal:  J Chem Theory Comput       Date:  2014-10-08       Impact factor: 6.006

Review 10.  Computational and data driven molecular material design assisted by low scaling quantum mechanics calculations and machine learning.

Authors:  Wei Li; Haibo Ma; Shuhua Li; Jing Ma
Journal:  Chem Sci       Date:  2021-11-08       Impact factor: 9.825

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