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Pair interaction energy decomposition analysis

Fedorov, Dmitri G., Kitaura, Kazuo·2007·Journal of Computational Chemistry

Abstract

The energy decomposition analysis (EDA) by Kitaura and Morokuma was redeveloped in the framework of the fragment molecular orbital method (FMO). The proposed pair interaction energy decomposition analysis (PIEDA) can treat large molecular clusters and the systems in which fragments are connected by covalent bonds, such as proteins. The interaction energy in PIEDA is divided into the same contributions as in EDA: the electrostatic, exchange‐repulsion, and charge transfer energies, to which the correlation (dispersion) term was added. The careful comparison to the ab initio EDA interaction energies for water clusters with 2–16 molecules revealed that PIEDA has the error of at most 1.2 kcal/mol (or about 1%). The analysis was applied to (H 2 O)1024, the α helix, β turn, and β strand of polyalanine (ALA)10, as well as to the synthetic protein (PDB code 1L2Y) with 20 residues. The comparative aspects of the polypeptide isomer stability are discussed in detail. © 2006 Wiley Periodicals, Inc.J Comput Chem 2007

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Metadata

Authors
Fedorov, D. G., & Kitaura, K.
Venue
Journal of Computational Chemistry
Publisher
Wiley
Published
2006-11-15
Volume
28
Issue
1
Pages
222-237
ISSN
  • 0192-8651 (ISSN-L)
  • 1096-987X
OpenAlex
W2131197116
Cited by
470
References
21
FWCI
6.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Pair interaction energy decomposition analysis. https://app.cochat.ai/papers/10.1002/jcc.20496
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Fedorov, D. G., & Kitaura, K. (2007). Pair interaction energy decomposition analysis. Journal of Computational Chemistry. https://doi.org/10.1002/jcc.20496

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