V. S. Kunjumol, S. Jeyavijayan, S. Sumathi, N. Karthik
{"title":"作为抗乳腺癌药物的 6-溴苯并咪唑的光谱、计算、细胞毒性和对接研究。","authors":"V. S. Kunjumol, S. Jeyavijayan, S. Sumathi, N. Karthik","doi":"10.1002/jmr.3074","DOIUrl":null,"url":null,"abstract":"<p>6-Bromobenzimidazole (6BBZ) has been calculated in this study utilizing the 6-311++G(d,p) basis set and the Becke-3-Lee-Yang-Parr density functional approaches. The basic frequencies and geometric optimization are known. FTIR, FT-Raman, and UV–Vis spectra of the substance are compared between its computed and observed values. The energy gap between highest occupied molecular orbital–lowest unoccupied molecular orbital and molecule electrostatic potentials has been represented by charge density distributions that may be associated with the biological response. Time-dependent density functional theory calculations in the gas phase and dimethyl sulfoxide were carried out to ascertain the electronic properties and energy gap values using the same basis set. Molecular orbital contributions are investigated using the overlap population, partial, and total densities of states. Natural bond analysis was found to have strong electron delocalization by means of π(C4–C9) → π*(C5–C6), LP (N1) → π*(C7–C8), and LP(Br12) → π*(C5–C6) interactions. The Fukui function and Mulliken analysis have been explored on the atomic charges of the molecule. The nuclear magnetic resonance chemical shifts for <sup>1</sup>H and <sup>13</sup>C have been computed using the gauge-independent atomic orbital technique. With the highest binding affinity (−6.2 kcal mol<sup>−1</sup>) against estrogen sulfotransferase receptor (PDB ID: 1AQU) and low IC<sub>50</sub> value of 17.23 μg/mL, 6BBZ demonstrated potent action against the MCF-7 breast cancer cell line. Studies on the antibacterial activity and ADMET prediction of the molecule have also been carried out.</p>","PeriodicalId":16531,"journal":{"name":"Journal of Molecular Recognition","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spectroscopic, computational, cytotoxicity, and docking studies of 6-bromobenzimidazole as anti-breast cancer agent\",\"authors\":\"V. S. Kunjumol, S. Jeyavijayan, S. Sumathi, N. Karthik\",\"doi\":\"10.1002/jmr.3074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>6-Bromobenzimidazole (6BBZ) has been calculated in this study utilizing the 6-311++G(d,p) basis set and the Becke-3-Lee-Yang-Parr density functional approaches. The basic frequencies and geometric optimization are known. FTIR, FT-Raman, and UV–Vis spectra of the substance are compared between its computed and observed values. The energy gap between highest occupied molecular orbital–lowest unoccupied molecular orbital and molecule electrostatic potentials has been represented by charge density distributions that may be associated with the biological response. Time-dependent density functional theory calculations in the gas phase and dimethyl sulfoxide were carried out to ascertain the electronic properties and energy gap values using the same basis set. Molecular orbital contributions are investigated using the overlap population, partial, and total densities of states. Natural bond analysis was found to have strong electron delocalization by means of π(C4–C9) → π*(C5–C6), LP (N1) → π*(C7–C8), and LP(Br12) → π*(C5–C6) interactions. The Fukui function and Mulliken analysis have been explored on the atomic charges of the molecule. The nuclear magnetic resonance chemical shifts for <sup>1</sup>H and <sup>13</sup>C have been computed using the gauge-independent atomic orbital technique. With the highest binding affinity (−6.2 kcal mol<sup>−1</sup>) against estrogen sulfotransferase receptor (PDB ID: 1AQU) and low IC<sub>50</sub> value of 17.23 μg/mL, 6BBZ demonstrated potent action against the MCF-7 breast cancer cell line. 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Spectroscopic, computational, cytotoxicity, and docking studies of 6-bromobenzimidazole as anti-breast cancer agent
6-Bromobenzimidazole (6BBZ) has been calculated in this study utilizing the 6-311++G(d,p) basis set and the Becke-3-Lee-Yang-Parr density functional approaches. The basic frequencies and geometric optimization are known. FTIR, FT-Raman, and UV–Vis spectra of the substance are compared between its computed and observed values. The energy gap between highest occupied molecular orbital–lowest unoccupied molecular orbital and molecule electrostatic potentials has been represented by charge density distributions that may be associated with the biological response. Time-dependent density functional theory calculations in the gas phase and dimethyl sulfoxide were carried out to ascertain the electronic properties and energy gap values using the same basis set. Molecular orbital contributions are investigated using the overlap population, partial, and total densities of states. Natural bond analysis was found to have strong electron delocalization by means of π(C4–C9) → π*(C5–C6), LP (N1) → π*(C7–C8), and LP(Br12) → π*(C5–C6) interactions. The Fukui function and Mulliken analysis have been explored on the atomic charges of the molecule. The nuclear magnetic resonance chemical shifts for 1H and 13C have been computed using the gauge-independent atomic orbital technique. With the highest binding affinity (−6.2 kcal mol−1) against estrogen sulfotransferase receptor (PDB ID: 1AQU) and low IC50 value of 17.23 μg/mL, 6BBZ demonstrated potent action against the MCF-7 breast cancer cell line. Studies on the antibacterial activity and ADMET prediction of the molecule have also been carried out.
期刊介绍:
Journal of Molecular Recognition (JMR) publishes original research papers and reviews describing substantial advances in our understanding of molecular recognition phenomena in life sciences, covering all aspects from biochemistry, molecular biology, medicine, and biophysics. The research may employ experimental, theoretical and/or computational approaches.
The focus of the journal is on recognition phenomena involving biomolecules and their biological / biochemical partners rather than on the recognition of metal ions or inorganic compounds. Molecular recognition involves non-covalent specific interactions between two or more biological molecules, molecular aggregates, cellular modules or organelles, as exemplified by receptor-ligand, antigen-antibody, nucleic acid-protein, sugar-lectin, to mention just a few of the possible interactions. The journal invites manuscripts that aim to achieve a complete description of molecular recognition mechanisms between well-characterized biomolecules in terms of structure, dynamics and biological activity. Such studies may help the future development of new drugs and vaccines, although the experimental testing of new drugs and vaccines falls outside the scope of the journal. Manuscripts that describe the application of standard approaches and techniques to design or model new molecular entities or to describe interactions between biomolecules, but do not provide new insights into molecular recognition processes will not be considered. Similarly, manuscripts involving biomolecules uncharacterized at the sequence level (e.g. calf thymus DNA) will not be considered.