<scp>SparcleQC</scp>: Automated Input File Creation for QM/MM Studies of Protein:Ligand Complexes

SparcleQC is a Python package that, given a protein:ligand complex in the Protein Data Bank (PDB) file format, can create quantum mechanics/molecular mechanics (QM/MM)-like input files for the electronic structure theory packages Psi4, Q-Chem, and NWChem. The resulting input files include quantum mechanical representations of the ligand and a small section of the protein, surrounded by point charges that represent the rest of the protein. Creation of these QM/MM input files includes cutting and capping the QM subregion, obtaining point charges for the protein, and adjusting charges at the QM/MM boundary; and each of these tasks are automated by the software. In this article, we describe the details of SparcleQC's procedure, show examples of the Python API, and explain additional features that are helpful in protein:ligand interaction studies. Finally, we show that SparcleQC enables automated preparation of input files for QM/MM calculations, which can return can return accurate interaction energies in minutes, while a fully quantum mechanical computation on the protein:ligand complex could take days, if it is even possible.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-06-17
DOI
https://doi.org/10.1021/acs.jcim.5c00617
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81

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article

SparcleQC: Automated Input File Creation for QM/MM Studies of Protein:Ligand Complexes

Ian Berry, C. David Sherrill, Caroline S. Glick
1 citations
Journal of Chemical Information and Modeling
Protein Structure and Dynamics
0.81
article

SparcleQC: Automated Input File Creation for QM/MM Studies of Protein:Ligand Complexes

Ian Berry, C. David Sherrill, Caroline S. Glick
article en
1 citations

Abstract

SparcleQC is a Python package that, given a protein:ligand complex in the Protein Data Bank (PDB) file format, can create quantum mechanics/molecular mechanics (QM/MM)-like input files for the electronic structure theory packages Psi4, Q-Chem, and NWChem. The resulting input files include quantum mechanical representations of the ligand and a small section of the protein, surrounded by point charges that represent the rest of the protein. Creation of these QM/MM input files includes cutting and capping the QM subregion, obtaining point charges for the protein, and adjusting charges at the QM/MM boundary; and each of these tasks are automated by the software. In this article, we describe the details of SparcleQC's procedure, show examples of the Python API, and explain additional features that are helpful in protein:ligand interaction studies. Finally, we show that SparcleQC enables automated preparation of input files for QM/MM calculations, which can return can return accurate interaction energies in minutes, while a fully quantum mechanical computation on the protein:ligand complex could take days, if it is even possible.

Journal of Chemical Information and ModelingVol. 65(13)
Georgia Institute of Technology (US)
Division of Chemistry, Advanced Scientific Computing Research, Division of Advanced Cyberinfrastructure
Zero hunger
Openalex Percentile: Top 27%
Protein Structure and Dynamics
0.81
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