Thermochemical, spectral and biological activity prediction of some methylpyridine derivatives: a computational approach

Pyridine and its derivatives play a vital role in pharmaceutical and pesticide applications. However, prolonged exposure to pyridine can lead to significant health risks due to its ability to enter the body via inhalation and absorption. This study employed density functional theory (DFT) at the B3LYP/6–311 g++(d, p) level to systematically investigate the thermochemical properties—including free energy, dipole moment, molecular orbitals, and electrostatic potential—as well as the spectral characteristics (FT-IR, Raman, and UV-Vis spectra) of some selected methylpyridine derivatives bearing functional groups such as–F,–Br,–OH,–NH2,–CN, and–COOCH2CH3. Thermodynamic assessments and molecular orbital analysis offer insights into the thermodynamic stability and chemical reactivity of the analyzed pyridine derivatives. Molecular docking and non-bonding interaction analyses were performed against human kinesin Eg5, a key mitotic motor protein and a promising cancer chemotherapy target. All methylpyridine derivatives showed higher binding affinities than unsubstituted pyridine (–4.0 kcal/mol), with 6-bromo-2-methylpyridin-3-amine displaying the highest affinity (–6.0 kcal/mol). Complementary molecular dynamics simulations, alongside ADMET and PASS predictions, offered insights into their biochemical and toxicological profiles. This comprehensive computational study highlights the thermochemical and biological activity of selected methylpyridine derivatives, aiming to contribute to the development of safer reagents and chemicals.

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Publication Details

Journal
Discover Chemistry.
Published
2025-08-08
DOI
https://doi.org/10.1007/s44371-025-00253-5
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
4.51
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Thermochemical, spectral and biological activity prediction of some methylpyridine derivatives: a computational approach

Rafi Ahmed Miah, Monir Uzzaman, Md. Byzed Hasan, Umma Hany Sawon et al.
3 citations
Discover Chemistry.
Computational Drug Discovery Methods
4.51
article

Thermochemical, spectral and biological activity prediction of some methylpyridine derivatives: a computational approach

Rafi Ahmed Miah, Monir Uzzaman, Md. Byzed Hasan, Umma Hany Sawon, Md. Arifur Rahman, Fahima Akter, S. M. Mehedi Afnan Rejve, Md. Ruhul Amin Niloy, Mim Afsari
article en
3 citations

Abstract

Pyridine and its derivatives play a vital role in pharmaceutical and pesticide applications. However, prolonged exposure to pyridine can lead to significant health risks due to its ability to enter the body via inhalation and absorption. This study employed density functional theory (DFT) at the B3LYP/6–311 g++(d, p) level to systematically investigate the thermochemical properties—including free energy, dipole moment, molecular orbitals, and electrostatic potential—as well as the spectral characteristics (FT-IR, Raman, and UV-Vis spectra) of some selected methylpyridine derivatives bearing functional groups such as–F,–Br,–OH,–NH2,–CN, and–COOCH2CH3. Thermodynamic assessments and molecular orbital analysis offer insights into the thermodynamic stability and chemical reactivity of the analyzed pyridine derivatives. Molecular docking and non-bonding interaction analyses were performed against human kinesin Eg5, a key mitotic motor protein and a promising cancer chemotherapy target. All methylpyridine derivatives showed higher binding affinities than unsubstituted pyridine (–4.0 kcal/mol), with 6-bromo-2-methylpyridin-3-amine displaying the highest affinity (–6.0 kcal/mol). Complementary molecular dynamics simulations, alongside ADMET and PASS predictions, offered insights into their biochemical and toxicological profiles. This comprehensive computational study highlights the thermochemical and biological activity of selected methylpyridine derivatives, aiming to contribute to the development of safer reagents and chemicals.

Discover Chemistry.Vol. 2(1)
Bangladesh University of Engineering and Technology (BD), Pabna University of Science and Technology (BD), Bangladesh College of Physicians and Surgeons (BD), Comilla University (BD), University of Barishal (BD), Noakhali Science and Technology University (BD), Jagannath University (BD), Dhaka University of Engineering & Technology (BD), University of Chittagong (BD)
Openalex Percentile: Top 5%
Computational Drug Discovery Methods
4.51
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