Exploring characteristic features for effective HCN1 channel inhibition using integrated analytical approaches: 3D QSAR, molecular docking, homology modelling, ADME and molecular dynamics
Publication type: Journal Article
Publication date: 2024-11-03
scimago Q2
wos Q3
SJR: 0.798
CiteScore: 5.3
Impact factor: 2.4
ISSN: 01757571, 14321017
PubMed ID:
39488633
Abstract
Neuropathic pain (NP) is characterized by hyperalgesia, allodynia, and spontaneous pain. Hyperpolarization-activated cyclic nucleotide-gated (HCN) channel involved in neuronal hyperexcitability, has emerged as an important target for the drug development of NP. HCN channels exist in four different isoforms, where HCN1 is majorly expressed in dorsal root ganglion having an imperative role in NP pathophysiology. A specific HCN1 channel inhibitor will hold the better potential to treat NP without disturbing the physiological roles of other HCN isoforms. The main objective is to identify and analyze the chemical properties of scaffolds with higher HCN1 channel specificity. The 3D-QSAR studies highlight the hydrophobic & hydrogen bond donor groups enhance specificity towards the HCN1 channel. Further, the molecular interaction of the scaffolds with the HCN1 pore was studied by generating an open-pore model of the HCN1 channel using homology modelling and then docking the molecules with it. In addition, the important residues involved in the interaction between HCN1 pore and scaffolds were also identified. Moreover, ADME predictions revealed that compounds had good oral bioavailability and solubility characteristics. Subsequently, molecular dynamics simulation studies revealed the better stability of the lead molecules A7 and A9 during interactions and ascertained them as potential drug candidates. Cumulative studies provided the important structural features for enhancing HCN1 channel-specific inhibition, paving the way to design and develop novel specific HCN1 channel inhibitors.
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Sharma S. et al. Exploring characteristic features for effective HCN1 channel inhibition using integrated analytical approaches: 3D QSAR, molecular docking, homology modelling, ADME and molecular dynamics // European Biophysics Journal. 2024. Vol. 53. No. 7-8. pp. 447-464.
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Sharma S., Rana P., Chadha V. D., Dhingra N., Kaur T. Exploring characteristic features for effective HCN1 channel inhibition using integrated analytical approaches: 3D QSAR, molecular docking, homology modelling, ADME and molecular dynamics // European Biophysics Journal. 2024. Vol. 53. No. 7-8. pp. 447-464.
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TY - JOUR
DO - 10.1007/s00249-024-01726-8
UR - https://link.springer.com/10.1007/s00249-024-01726-8
TI - Exploring characteristic features for effective HCN1 channel inhibition using integrated analytical approaches: 3D QSAR, molecular docking, homology modelling, ADME and molecular dynamics
T2 - European Biophysics Journal
AU - Sharma, Shiwani
AU - Rana, Priyanka
AU - Chadha, Vijayta Dani
AU - Dhingra, Neelima
AU - Kaur, Tanzeer
PY - 2024
DA - 2024/11/03
PB - Springer Nature
SP - 447-464
IS - 7-8
VL - 53
PMID - 39488633
SN - 0175-7571
SN - 1432-1017
ER -
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@article{2024_Sharma,
author = {Shiwani Sharma and Priyanka Rana and Vijayta Dani Chadha and Neelima Dhingra and Tanzeer Kaur},
title = {Exploring characteristic features for effective HCN1 channel inhibition using integrated analytical approaches: 3D QSAR, molecular docking, homology modelling, ADME and molecular dynamics},
journal = {European Biophysics Journal},
year = {2024},
volume = {53},
publisher = {Springer Nature},
month = {nov},
url = {https://link.springer.com/10.1007/s00249-024-01726-8},
number = {7-8},
pages = {447--464},
doi = {10.1007/s00249-024-01726-8}
}
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Sharma, Shiwani, et al. “Exploring characteristic features for effective HCN1 channel inhibition using integrated analytical approaches: 3D QSAR, molecular docking, homology modelling, ADME and molecular dynamics.” European Biophysics Journal, vol. 53, no. 7-8, Nov. 2024, pp. 447-464. https://link.springer.com/10.1007/s00249-024-01726-8.