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Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
Published on: March 3, 2021
Multilevel Fragment-Based Approach (MFBA): A Novel Hybrid Computational Method for the Study of Large Molecules
1Department of Chemistry, IBI-Institute for Biocomplexity and Informatics and ISEEE-Institute for Sustainable Energy, Environment and Economy, University of Calgary, 2500 University Drive NW, Calgary, Alberta, Canada T2N 1N4, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic and Center for Biomolecules and Complex Systems, 166 10 Prague 6, Czech Republic.
Abstract:
We present a novel method for the calculation of large molecules and systems, the multilevel fragment-based approach. It is based on dividing the system into small fragments followed by separate calculations of these fragments and the interactions between them. Unlike previous fragmentation-based methods, we use multiple computational methods for the individual calculations. Using an accurate method only to calculate local interactions and more approximate methods for interactions over larger distances, it is possible to achieve results very close to a more demanding fragmented calculation using the higher level method only. The number of calculations performed at the higher level scales linearly with the size of the system, which significantly improves the efficiency and allows this scheme to be used for very large systems. In this work, we have combined density functional theory with the more approximate density functional tight binding method and applied this method to the calculation of model peptides. Formulation of first derivatives of the total energy within this fragmentation scheme is also presented and tested.

