3D-QSPR STUDY ON HYDROGEN BOND STRENGTH OF HYDROXAMIC ACIDS: KEY ROLE OF STERIC AND ELECTROSTATIC FACTORS USING THE kNN-MFAMETHOD

Hydrogen bonding is critical for drug efficacy, impacting factors like absorption, distribution, metabolism, and excretion (ADME) and receptor binding. Hydroxamic acids, low-toxicity, and therapeutically diverse compounds were tested for lipophilicity and hydrogen bond strength. LogP (2.5120-2.8383), hydrogen bond donor (HBD) strength (1.880-3.740), and acceptor (HBA) strength (0.8350-1.271) were calculated. For the prediction of HBD and HBA strengths, we employed k-nearest neighbor molecular field analysis (kNN-MFA), and the best predictions for HBD and HBA were obtained from SWkNN-MFA models. The 3D-QSPR models revealed that hydrogen bond strength was largely influenced by steric and electrostatic conditions. These data are valuable for engineering hydroxamic acid derivatives with improved hydrogen bonding interactions and enhanced therapeutic potential.

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Publication Details

Journal
RASAYAN Journal of Chemistry
Published
2025-01-01
DOI
https://doi.org/10.31788/rjc.2025.1819064
Primary Topic
Fuel Cells and Related Materials
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article
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article

3D-QSPR STUDY ON HYDROGEN BOND STRENGTH OF HYDROXAMIC ACIDS: KEY ROLE OF STERIC AND ELECTROSTATIC FACTORS USING THE kNN-MFAMETHOD

Jena Diwan, Ram Prakash Rajwade, Dinesh Kumar
RASAYAN Journal of Chemistry
Fuel Cells and Related Materials
article

3D-QSPR STUDY ON HYDROGEN BOND STRENGTH OF HYDROXAMIC ACIDS: KEY ROLE OF STERIC AND ELECTROSTATIC FACTORS USING THE kNN-MFAMETHOD

Jena Diwan, Ram Prakash Rajwade, Dinesh Kumar
article en

Abstract

Hydrogen bonding is critical for drug efficacy, impacting factors like absorption, distribution, metabolism, and excretion (ADME) and receptor binding. Hydroxamic acids, low-toxicity, and therapeutically diverse compounds were tested for lipophilicity and hydrogen bond strength. LogP (2.5120-2.8383), hydrogen bond donor (HBD) strength (1.880-3.740), and acceptor (HBA) strength (0.8350-1.271) were calculated. For the prediction of HBD and HBA strengths, we employed k-nearest neighbor molecular field analysis (kNN-MFA), and the best predictions for HBD and HBA were obtained from SWkNN-MFA models. The 3D-QSPR models revealed that hydrogen bond strength was largely influenced by steric and electrostatic conditions. These data are valuable for engineering hydroxamic acid derivatives with improved hydrogen bonding interactions and enhanced therapeutic potential.

RASAYAN Journal of ChemistryVol. 18(01)
Openalex Percentile: Top 95%
Fuel Cells and Related Materials
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3D-QSPR STUDY ON HYDROGEN BOND STRENGTH OF HYDROXAMIC ACIDS: KEY ROLE OF STERIC AND ELECTROSTATIC FACTORS USING THE kNN-MFAMETHOD — Jena Diwan, Ram Prakash Rajwade, et al. · RASAYAN Journal of Chemistry (2025) | TGRS Research Map | TGRS