Spectroscopic, electronic structure, molecular docking, and molecular dynamics simulation study of 7-Trifluoromethyl-1H-indole-2-carboxylic acid as an aromatase inhibitor

Isha Singh 1
Ruchi Srivastava 1
Vikas Shukla 2
Shilendra K Pathak 3
Tanay Burman 4
Aamal A Al Mutairi 5
Onkar Prasad 1
Leena Sinha 7
Publication typeJournal Article
Publication date2022-11-01
scimago Q2
wos Q1
SJR0.664
CiteScore8.5
Impact factor4.6
ISSN13861425, 18733557
Spectroscopy
Analytical Chemistry
Atomic and Molecular Physics, and Optics
Instrumentation
Abstract
The present work encompasses a combined experimental and theoretical investigation of the molecular structure, vibrational wavenumbers, electronic structure at the ground and electronic excited states, molecular electrostatic potential surface of 7-(Trifluoromethyl)-1H-indole-2-carboxylic acid (TICA) and possibility of the title molecule as an aromatase inhibitor using molecular docking and molecular dynamic simulations. A stable conformer has been obtained using potential energy scans by varying appropriate dihedral angles. The obtained minimum energy conformer was further optimized at the 6-311++G (d, p) basis set by applying the most accepted B3LYP functional. A good agreement between experimental and calculated normal modes of vibration has been observed. The hydrogen-bonded interaction between two monomeric units of TICA has been investigated using NBO,QTAIM, and NCI (noncovalent interactions) analysis. Molecular docking of TICA with human placental aromatase (PDB ID: 3S79) reveals the formation of polar hydrogen bonds as well as hydrophobic interactions between the ligand and the protein, right in the binding cavity. TICA satisfies all pharmacokinetic filters (Lipinski rule of five, the Veber rule, Ghose rule, Egan rule, as well as the Muegge rule) and has a high bioavailability score of 0.85. Dynamic stability of the ligand within the binding pocket of the target protein has been confirmed by 100 ns molecular dynamics simulation results. The present study provides an excellent starting point for additional in vivo research, and TICA may eventually serve as a significant therapeutic candidate for the treatment of breast cancer.
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Singh I. et al. Spectroscopic, electronic structure, molecular docking, and molecular dynamics simulation study of 7-Trifluoromethyl-1H-indole-2-carboxylic acid as an aromatase inhibitor // Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy. 2022. Vol. 280. p. 121530.
GOST all authors (up to 50) Copy
Singh I., Srivastava R., Shukla V., Pathak S. K., Burman T., Al Mutairi A. A., El-Emam A. A., Prasad O., Sinha L. Spectroscopic, electronic structure, molecular docking, and molecular dynamics simulation study of 7-Trifluoromethyl-1H-indole-2-carboxylic acid as an aromatase inhibitor // Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy. 2022. Vol. 280. p. 121530.
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RIS Copy
TY - JOUR
DO - 10.1016/j.saa.2022.121530
UR - https://doi.org/10.1016/j.saa.2022.121530
TI - Spectroscopic, electronic structure, molecular docking, and molecular dynamics simulation study of 7-Trifluoromethyl-1H-indole-2-carboxylic acid as an aromatase inhibitor
T2 - Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
AU - Singh, Isha
AU - Srivastava, Ruchi
AU - Shukla, Vikas
AU - Pathak, Shilendra K
AU - Burman, Tanay
AU - Al Mutairi, Aamal A
AU - El-Emam, Ali A.
AU - Prasad, Onkar
AU - Sinha, Leena
PY - 2022
DA - 2022/11/01
PB - Elsevier
SP - 121530
VL - 280
PMID - 35752037
SN - 1386-1425
SN - 1873-3557
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Singh,
author = {Isha Singh and Ruchi Srivastava and Vikas Shukla and Shilendra K Pathak and Tanay Burman and Aamal A Al Mutairi and Ali A. El-Emam and Onkar Prasad and Leena Sinha},
title = {Spectroscopic, electronic structure, molecular docking, and molecular dynamics simulation study of 7-Trifluoromethyl-1H-indole-2-carboxylic acid as an aromatase inhibitor},
journal = {Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy},
year = {2022},
volume = {280},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016/j.saa.2022.121530},
pages = {121530},
doi = {10.1016/j.saa.2022.121530}
}
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