LEDAW: An Integrated Software Suite with GUI for Automating Local Energy Decomposition Analysis of Molecular Interactions

Accurate interaction energies can be obtained using high-level quantum chemical methods such as DLPNO-CCSD(T) and its HFLD variant in ORCA. The local energy decomposition (LED) scheme helps interpret these energies by breaking them down into chemically meaningful components. However, preparing LED inputs and analyzing results is often complex and error-prone. To streamline this process, we developed LEDAW (local energy decomposition analysis wizard), a Python-based tool that automates LED workflows. It supports standard and fragment-pairwise (fp)-LED, complete basis set (CBS) and Complete PNO Space (CPS) extrapolations, and analysis of N-body and cooperativity effects. With both a GUI and script-based workflow, LEDAW reduces analysis time from hours or days to just minutes, improving usability and reproducibility. It accelerates the generation of interaction energy matrices and heat maps, making advanced analysis of protein-ligand complexes, DNA assemblies, solute-solvent interactions, and molecular crystals more accessible.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2025-08-28
DOI
https://doi.org/10.1021/acs.jcim.5c01561
Citations
3
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
1.55

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article

LEDAW: An Integrated Software Suite with GUI for Automating Local Energy Decomposition Analysis of Molecular Interactions

Giovanni Bistoni, Ahmet Altun, Frank Neese
3 citations
Journal of Chemical Information and Modeling
Machine Learning in Materials Science
1.55
article

LEDAW: An Integrated Software Suite with GUI for Automating Local Energy Decomposition Analysis of Molecular Interactions

Giovanni Bistoni, Ahmet Altun, Frank Neese
article en
3 citations

Abstract

Accurate interaction energies can be obtained using high-level quantum chemical methods such as DLPNO-CCSD(T) and its HFLD variant in ORCA. The local energy decomposition (LED) scheme helps interpret these energies by breaking them down into chemically meaningful components. However, preparing LED inputs and analyzing results is often complex and error-prone. To streamline this process, we developed LEDAW (local energy decomposition analysis wizard), a Python-based tool that automates LED workflows. It supports standard and fragment-pairwise (fp)-LED, complete basis set (CBS) and Complete PNO Space (CPS) extrapolations, and analysis of N-body and cooperativity effects. With both a GUI and script-based workflow, LEDAW reduces analysis time from hours or days to just minutes, improving usability and reproducibility. It accelerates the generation of interaction energy matrices and heat maps, making advanced analysis of protein-ligand complexes, DNA assemblies, solute-solvent interactions, and molecular crystals more accessible.

Journal of Chemical Information and ModelingVol. 65(17)
University of Perugia (IT), Max-Planck-Institut für Kohlenforschung (DE)
Deutsche Forschungsgemeinschaft, Max-Planck-Gesellschaft
Openalex Percentile: Top 16%
Machine Learning in Materials Science
1.55
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LEDAW: An Integrated Software Suite with GUI for Automating Local Energy Decomposition Analysis of Molecular Interactions — Giovanni Bistoni, Ahmet Altun, et al. · Journal of Chemical Information and Modeling (2025) | TGRS Research Map | TGRS