CALCULATION AND PROPERTIES OF 3D MOLECULAR SHANNON ENTROPY USING INTERATOMIC DISTANCE HISTOGRAMS

Interatomic distance histograms (IDH) are used to calculate the Shannon entropies (H) of a number of molecules. Considering that the H values obtained on the basis of conventional IDH do not adequately reflect the geometric structure of molecules, it was proposed to use modified histograms of interatomic distances by calculating interatomic distances in the range of 0–10 Å and filling zero bins with low intensity. The main structural factors affecting the H values are revealed. The possibility of using the Shannon entropy as a molecular descriptor in the development of new functional materials is studied.

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Journal
Lomonosov chemistry journal
Published
2025-01-01
DOI
https://doi.org/10.55959/msu0579-9384-2-2025-66-2-124-137
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

CALCULATION AND PROPERTIES OF 3D MOLECULAR SHANNON ENTROPY USING INTERATOMIC DISTANCE HISTOGRAMS

O.V. Tinkov, V.Y. Grigorev, L. D. Grigoreva
Lomonosov chemistry journal
Computational Drug Discovery Methods
article

CALCULATION AND PROPERTIES OF 3D MOLECULAR SHANNON ENTROPY USING INTERATOMIC DISTANCE HISTOGRAMS

O.V. Tinkov, V.Y. Grigorev, L. D. Grigoreva
article en

Abstract

Interatomic distance histograms (IDH) are used to calculate the Shannon entropies (H) of a number of molecules. Considering that the H values obtained on the basis of conventional IDH do not adequately reflect the geometric structure of molecules, it was proposed to use modified histograms of interatomic distances by calculating interatomic distances in the range of 0–10 Å and filling zero bins with low intensity. The main structural factors affecting the H values are revealed. The possibility of using the Shannon entropy as a molecular descriptor in the development of new functional materials is studied.

Lomonosov chemistry journalVol. 66(№2, 2025)
Lomonosov Moscow State University (RU), Moscow State University (TJ), Institute of Physiologically Active Compounds (RU), Shevchenko Transnistria State University (MD)
Openalex Percentile: Top 93%
Computational Drug Discovery Methods
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