Ligand‐Induced Electronic Response Enables Predictive QM/MM Simulations
Predictive modeling of large molecular systems demands methods that combine quantum accuracy with scalability. Although hybrid quantum mechanics/molecular mechanics (QM/MM) simulations offer such a framework, their predictive power has been limited by the subjective and system-specific definition of the QM region. Here, we present an electronically informed protocol that objectively defines QM regions from ligand-induced orbital shifts and charge-redistribution, extracted in a single semiempirical fragment molecular orbital (FMO) calculation. Validated on both zeolite-guest and enzyme-inhibitor complexes, the method achieves chemical accuracy (within ∼1-2 kcal/mol on binding energies) while substantially reducing computational cost at the DFTB level. This cross-domain strategy reframes QM/MM as a transferable design principle, bridging solid-state catalysis and quantum biochemistry, and thereby providing a practical platform for predictive molecular engineering across diverse disciplines.
Authors
- Nahoko Kuroki (ORCID: https://orcid.org/0000-0002-2615-3481)
- Hiroyuki Mori (ORCID: https://orcid.org/0000-0002-0429-1269)
- Nichika Ozawa
Institutions
- Ochanomizu University (JP)
- Chuo University (JP)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-12-22
- DOI
- https://doi.org/10.1002/advs.202519137
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Society for the Promotion of Science
- National Institutes of Natural Sciences